XSLT stands for Extensible Stylesheet Language Transformations and enables transforming XML documents into other formats like HTML. XSLT uses XML documents called stylesheets that contain elements and attributes to define templates that match elements in the XML data and specify how to transform their contents. Transformations can occur on a server, client, or with a standalone program and involve elements like <template> to select nodes, <apply-templates> to process children, <value-of> to retrieve node values, <for-each> to loop through nodes, and <sort> to sort output.
The document discusses several models of consumer behavior, including the economic model which views consumers as rational actors seeking to maximize benefits based on price, income, and substitution effects. It also describes the learning model based on Pavlov's stimulus-response theory, the psychoanalytic model examining complex unconscious motives, and the sociological model analyzing social and group influences. Two additional models covered are Howard Sheth's model with input, hypothetical, output, and external variables, and Nicosia's model outlining four areas of the consumer decision process.
Business process reengineering module 1POOJA UDAYAN
Business processes are collections of activities that take inputs and create outputs of value to customers. Business process management involves modeling, automating, executing, controlling, measuring, and optimizing business processes. The goals of business process management are to improve processes, gain control over workflows, and optimize processes to create an efficient organization. Business process reengineering takes a radical approach to redesign processes from scratch in order to achieve dramatic improvements in areas like costs, quality, and cycle times.
This document discusses several models of consumer buying behavior:
- Traditional models include the economic, learning, psychological, and sociological models.
- Contemporary models include the Howard-Sheth model, Nicosia model, Engle-Kollat-Blackwell model, EBM model, and organizational buying models.
- The Nicosia model explains consumer behavior as a system with stimuli as input and behavior as output across four fields: consumer/firm attributes, search/evaluation, purchase, and post-purchase.
This document discusses different aspects of virtualization including CPU, memory, I/O devices, and multi-core processors. It describes how CPU virtualization works by classifying instructions as privileged, control-sensitive, or behavior-sensitive and having a virtual machine monitor mediate access. Memory virtualization uses two-stage address mapping between virtual and physical memory. I/O virtualization manages routing requests between virtual and physical devices using emulation, para-virtualization, or direct access. Virtualizing multi-core processors introduces challenges for programming models, scheduling, and managing heterogeneous resources.
Influence of culture on consumer behavior by jayshah316Jay Shah
The role culture plays in building a sound brand strategy is more important than ever. Think beyond demo and psychographic insights. While those elements still play an important role, savvy brand builders are layering in the measurable impact consumer’s culture has on what brands they support.
Information engineering (IE) is a systematic approach to analyzing, designing, implementing, and maintaining software. It originated in Australia in the 1970s and aims to enhance business communication. There are two main variants of IE - one driven by data processing needs and one driven by business needs. IE uses techniques like entity analysis, function analysis, and data flow analysis to model business processes and data. Specialized software tools can assist with IE modeling techniques.
Core values define how products are used in societies and influence acceptable market relationships and behaviors. Culture includes learned beliefs, values, customs, and responses that direct consumer behavior. Cultural characteristics are learned and shared within groups. Marketers must understand how culture affects consumer pre-purchase activities like information search and post-purchase activities like product use. Culture also influences social classes that are hierarchical groups distinguished by factors like occupation, income, education, and prestige. Understanding differences in subcultures and cross-cultural groups is important for marketers to effectively target various national markets.
These slides discuss software testing strategies and accompany the textbook "Software Engineering: A Practitioner's Approach". They cover topics like the definition of testing, the strategic approach to testing, verification vs validation, unit testing, integration testing strategies, regression testing, smoke testing, and testing for object-oriented software. The overall purpose of the slides is to outline best practices and approaches for effectively testing software at various stages from the module level to full system integration and validation.
Black box testing is a software testing technique where the internal structure and implementation of the system is not known. It focuses on validating the functionality of the system based on requirements and specifications. Some key techniques of black box testing include equivalence partitioning, boundary value analysis, and error guessing. Equivalence partitioning divides test cases into equivalence classes based on expected behavior. Boundary value analysis tests values at the boundaries of equivalence classes. Error guessing involves creating test cases based on intuition about potential errors. Black box testing is applied at various levels including unit, integration, system, and non-functional testing.
Testing involves finding errors in a program. The goal is to assume a program contains errors and test to find as many as possible. Different testing techniques include white box testing by developers and black box testing by testers. Testing levels include unit, integration, system, and user acceptance testing. Developers and testers have different goals - developers want code to work while testers try to make code fail. Good development practices from a tester's view include doing own acceptance tests, fixing bugs, writing helpful error messages, and not artificially adding bugs. Good relationships between project managers, developers and testers help ensure quality.
1. The document discusses different types of software testing including manual testing, automation testing, black-box testing, white-box testing, grey-box testing, and different levels of testing like unit testing, integration testing, system testing, regression testing, and acceptance testing.
2. It provides details on when each type of testing is used and their objectives such as finding defects, ensuring quality, and meeting requirements.
3. The key types of testing covered include functional testing, which has sub-types like unit, integration, system, regression, and acceptance testing, and non-functional testing.
This document provides an overview of software testing concepts and definitions. It discusses key topics such as software quality, testing methods like static and dynamic testing, testing levels from unit to acceptance testing, and testing types including functional, non-functional, regression and security testing. The document is intended as an introduction to software testing principles and terminology.
Software testing is the process of evaluation a software item to detect differences between given input and expected output. Also to assess the feature of A software item. Testing assesses the quality of the product. Software testing is a process that should be done during the development process. In other words software testing is a verification and validation process.
Software testing can also provide an objective, independent view of the software to allow the business to appreciate and understand the risks of software implementation. Test techniques include, but are not limited to the process of executing a program or application with the intent of finding software bugs (errors or other defects).
Software testing can be stated as the process of validating and verifying that a computer program/application/product:
• meets the requirements that guided its design and development,
• works as expected,
• can be implemented with the same characteristics,
• and satisfies the needs of stakeholders.
Software Development Process Cycle:-
PLAN (P): Device a plan. Define your objective and determine the strategy and supporting methods required to achieve that objective.
DO (D): Execute the plan. Create the conditions and perform the necessary training to execute the plan.
CHECK (C): Check the results. Check to determine whether work is progressing according to the plan and whether the results are obtained.
ACTION (A): Take the necessary and appropriate action if checkup reveals that the work is not being performed according to plan or not as anticipated.
The document discusses software quality and defines key aspects:
- It explains the importance of software quality for users and developers.
- Qualities like correctness, reliability, efficiency are defined.
- Methods for measuring qualities like ISO 9126 standard are presented.
- Quality is important throughout the software development process.
- Both product quality and process quality need to be managed.
A brief that includes the following:
- Software Testing
- Quality Assurance
- Quality Control
- Types of Testing
- Levels of Software Testing
- Types of Performance Testing
- API
- Verification & Validation
- Test Plan & Testing Strategy
- Agile & Waterfall
- Software Development Life Cycle
- Career Path
YouTube Link: https://youtu.be/8UfQ8quw0Eg
(**Test Automation Masters Program: https://www.edureka.co/masters-program/automation-testing-engineer-training **)
This Edureka PPT on "What is Integration Testing?" will help you get in-depth knowledge on integration testing and why it is important to subject software builds to integration tests before moving on to next level of testing.
Levels of Software Testing
What is Integration Testing?
Different Approaches to Integration Testing
How to do Integration Testing?
Examples of Integration Testing
Integration Testing Challenges & Best Practices
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This document provides an introduction to software testing. It discusses software engineering and the software development life cycle (SDLC). The phases of the SDLC include problem definition, requirement analysis, planning, design, implementation, testing, deployment, and maintenance. Testing goals are to prevent and discover bugs. Different levels of testing include unit testing, integration testing, and system testing. The document also discusses testing concepts like the pesticide paradox, dichotomies between testing and debugging, and whether complete testing is possible.
The document provides an overview of software testing basics, including definitions of key terms like testing, debugging, errors, bugs, and failures. It describes different types of testing like manual testing, automation testing, unit testing, integration testing, system testing, and more. It also covers test planning, test cases, test levels, who should test, and the importance of testing in the software development life cycle.
Agile development focuses on effective communication, customer collaboration, and incremental delivery of working software. The key principles of agile development according to the Agile Alliance include satisfying customers, welcoming changing requirements, frequent delivery, collaboration between business and development teams, and self-organizing teams. Extreme Programming (XP) is an agile process model that emphasizes planning with user stories, simple design, pair programming, unit testing, and frequent integration and testing.
software testing, Regression testing meaning,
requirement of regression testing,
techniques of regression testing:- hybrid, retest all, Test case prioritization, Regression test selection.
pros and cons of using regression testing,
tools for regression testing :-
Relational Functional Tester(RFT)
Quick Test Professional (QTP)
selenium
This document discusses software quality assurance. It defines software quality and describes two types - quality of design and quality of conformance. It discusses quality concepts at the organizational, project, and process levels. It also describes software reviews, their types and purposes. Software quality assurance aims to establish organizational procedures and standards to achieve high quality software. Key SQA activities include applying technical methods, reviews, testing, enforcing standards and measurement.
This lecture is about the detail definition of software quality and quality assurance. Provide details about software tesing and its types. Clear the basic concepts of software quality and software testing.
The document discusses various topics related to software testing including:
1. Software testing helps improve software quality by testing conformance to requirements and is important to uncover errors before delivery to customers.
2. Testing involves specialists at different stages from early development through delivery and includes unit testing of individual components, integration testing of combined components, and system testing of the full system.
3. Proper testing methods include black box testing of inputs/outputs, white box testing of code structures, and testing at different levels from units to full system as well as by independent third parties.
Regression testing is testing performed after changes to a system to detect whether new errors were introduced or old bugs have reappeared. It should be done after changes to requirements, new features added, defect fixes, or performance improvements. There are various strategies for regression testing including re-running all tests, test selection, test prioritization, and focusing on areas like frequently failing tests or recently changed code. While regression testing helps ensure system quality, managing large test suites over time poses challenges in minimizing tests while achieving coverage. Automating regression testing can help address these challenges.
Black-box testing is a method of software testing that examines the functionality of an application based on the specifications.
White box testing is a testing technique, that examines the program structure and derives test data from the program logic/code
System testing evaluates a complete integrated system to determine if it meets specified requirements. It tests both functional and non-functional requirements. Functional requirements include business rules, transactions, authentication, and external interfaces. Non-functional requirements include performance, reliability, security, and usability. There are different types of system testing, including black box testing which tests functionality without knowledge of internal structure, white box testing which tests internal structures, and gray box testing which is a combination. Input, installation, graphical user interface, and regression testing are examples of different types of system testing.
Testing is the process of identifying bugs and ensuring software meets requirements. It involves executing programs under different conditions to check specification, functionality, and performance. The objectives of testing are to uncover errors, demonstrate requirements are met, and validate quality with minimal cost. Testing follows a life cycle including planning, design, execution, and reporting. Different methodologies like black box and white box testing are used at various levels from unit to system. The overall goal is to perform effective testing to deliver high quality software.
11 steps of testing process - By Harshil BarotHarshil Barot
The 11-step software testing process involves verifying requirements, design, code, and installation as well as validating that user needs are met. The key steps include:
1) Developing a test plan based on an assessment of the development status.
2) Testing requirements, design, code during construction, and software changes to find defects.
3) Executing tests, recording results, and reporting findings throughout the process.
4) Conducting acceptance testing with end users to validate software meets needs.
The goal is to deliver high-quality, bug-free software through a rigorous process of verification and validation activities.
Software testing is the process of executing a program to identify errors. It involves evaluating a program's capabilities and determining if it meets requirements. Software can fail in many complex ways due to its non-physical nature. Exhaustive testing of all possibilities is generally infeasible due to complexity. The objectives of testing include finding errors through designing test cases that systematically uncover different classes of errors with minimal time and effort. Principles of testing include traceability to requirements, planning tests before coding begins, and recognizing that exhaustive testing is impossible.
These slides discuss software testing strategies and accompany the textbook "Software Engineering: A Practitioner's Approach". They cover topics like the definition of testing, the strategic approach to testing, verification vs validation, unit testing, integration testing strategies, regression testing, smoke testing, and testing for object-oriented software. The overall purpose of the slides is to outline best practices and approaches for effectively testing software at various stages from the module level to full system integration and validation.
Black box testing is a software testing technique where the internal structure and implementation of the system is not known. It focuses on validating the functionality of the system based on requirements and specifications. Some key techniques of black box testing include equivalence partitioning, boundary value analysis, and error guessing. Equivalence partitioning divides test cases into equivalence classes based on expected behavior. Boundary value analysis tests values at the boundaries of equivalence classes. Error guessing involves creating test cases based on intuition about potential errors. Black box testing is applied at various levels including unit, integration, system, and non-functional testing.
Testing involves finding errors in a program. The goal is to assume a program contains errors and test to find as many as possible. Different testing techniques include white box testing by developers and black box testing by testers. Testing levels include unit, integration, system, and user acceptance testing. Developers and testers have different goals - developers want code to work while testers try to make code fail. Good development practices from a tester's view include doing own acceptance tests, fixing bugs, writing helpful error messages, and not artificially adding bugs. Good relationships between project managers, developers and testers help ensure quality.
1. The document discusses different types of software testing including manual testing, automation testing, black-box testing, white-box testing, grey-box testing, and different levels of testing like unit testing, integration testing, system testing, regression testing, and acceptance testing.
2. It provides details on when each type of testing is used and their objectives such as finding defects, ensuring quality, and meeting requirements.
3. The key types of testing covered include functional testing, which has sub-types like unit, integration, system, regression, and acceptance testing, and non-functional testing.
This document provides an overview of software testing concepts and definitions. It discusses key topics such as software quality, testing methods like static and dynamic testing, testing levels from unit to acceptance testing, and testing types including functional, non-functional, regression and security testing. The document is intended as an introduction to software testing principles and terminology.
Software testing is the process of evaluation a software item to detect differences between given input and expected output. Also to assess the feature of A software item. Testing assesses the quality of the product. Software testing is a process that should be done during the development process. In other words software testing is a verification and validation process.
Software testing can also provide an objective, independent view of the software to allow the business to appreciate and understand the risks of software implementation. Test techniques include, but are not limited to the process of executing a program or application with the intent of finding software bugs (errors or other defects).
Software testing can be stated as the process of validating and verifying that a computer program/application/product:
• meets the requirements that guided its design and development,
• works as expected,
• can be implemented with the same characteristics,
• and satisfies the needs of stakeholders.
Software Development Process Cycle:-
PLAN (P): Device a plan. Define your objective and determine the strategy and supporting methods required to achieve that objective.
DO (D): Execute the plan. Create the conditions and perform the necessary training to execute the plan.
CHECK (C): Check the results. Check to determine whether work is progressing according to the plan and whether the results are obtained.
ACTION (A): Take the necessary and appropriate action if checkup reveals that the work is not being performed according to plan or not as anticipated.
The document discusses software quality and defines key aspects:
- It explains the importance of software quality for users and developers.
- Qualities like correctness, reliability, efficiency are defined.
- Methods for measuring qualities like ISO 9126 standard are presented.
- Quality is important throughout the software development process.
- Both product quality and process quality need to be managed.
A brief that includes the following:
- Software Testing
- Quality Assurance
- Quality Control
- Types of Testing
- Levels of Software Testing
- Types of Performance Testing
- API
- Verification & Validation
- Test Plan & Testing Strategy
- Agile & Waterfall
- Software Development Life Cycle
- Career Path
YouTube Link: https://youtu.be/8UfQ8quw0Eg
(**Test Automation Masters Program: https://www.edureka.co/masters-program/automation-testing-engineer-training **)
This Edureka PPT on "What is Integration Testing?" will help you get in-depth knowledge on integration testing and why it is important to subject software builds to integration tests before moving on to next level of testing.
Levels of Software Testing
What is Integration Testing?
Different Approaches to Integration Testing
How to do Integration Testing?
Examples of Integration Testing
Integration Testing Challenges & Best Practices
Follow us to never miss an update in the future.
YouTube: https://www.youtube.com/user/edurekaIN
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Castbox: https://castbox.fm/networks/505?country=in
This document provides an introduction to software testing. It discusses software engineering and the software development life cycle (SDLC). The phases of the SDLC include problem definition, requirement analysis, planning, design, implementation, testing, deployment, and maintenance. Testing goals are to prevent and discover bugs. Different levels of testing include unit testing, integration testing, and system testing. The document also discusses testing concepts like the pesticide paradox, dichotomies between testing and debugging, and whether complete testing is possible.
The document provides an overview of software testing basics, including definitions of key terms like testing, debugging, errors, bugs, and failures. It describes different types of testing like manual testing, automation testing, unit testing, integration testing, system testing, and more. It also covers test planning, test cases, test levels, who should test, and the importance of testing in the software development life cycle.
Agile development focuses on effective communication, customer collaboration, and incremental delivery of working software. The key principles of agile development according to the Agile Alliance include satisfying customers, welcoming changing requirements, frequent delivery, collaboration between business and development teams, and self-organizing teams. Extreme Programming (XP) is an agile process model that emphasizes planning with user stories, simple design, pair programming, unit testing, and frequent integration and testing.
software testing, Regression testing meaning,
requirement of regression testing,
techniques of regression testing:- hybrid, retest all, Test case prioritization, Regression test selection.
pros and cons of using regression testing,
tools for regression testing :-
Relational Functional Tester(RFT)
Quick Test Professional (QTP)
selenium
This document discusses software quality assurance. It defines software quality and describes two types - quality of design and quality of conformance. It discusses quality concepts at the organizational, project, and process levels. It also describes software reviews, their types and purposes. Software quality assurance aims to establish organizational procedures and standards to achieve high quality software. Key SQA activities include applying technical methods, reviews, testing, enforcing standards and measurement.
This lecture is about the detail definition of software quality and quality assurance. Provide details about software tesing and its types. Clear the basic concepts of software quality and software testing.
The document discusses various topics related to software testing including:
1. Software testing helps improve software quality by testing conformance to requirements and is important to uncover errors before delivery to customers.
2. Testing involves specialists at different stages from early development through delivery and includes unit testing of individual components, integration testing of combined components, and system testing of the full system.
3. Proper testing methods include black box testing of inputs/outputs, white box testing of code structures, and testing at different levels from units to full system as well as by independent third parties.
Regression testing is testing performed after changes to a system to detect whether new errors were introduced or old bugs have reappeared. It should be done after changes to requirements, new features added, defect fixes, or performance improvements. There are various strategies for regression testing including re-running all tests, test selection, test prioritization, and focusing on areas like frequently failing tests or recently changed code. While regression testing helps ensure system quality, managing large test suites over time poses challenges in minimizing tests while achieving coverage. Automating regression testing can help address these challenges.
Black-box testing is a method of software testing that examines the functionality of an application based on the specifications.
White box testing is a testing technique, that examines the program structure and derives test data from the program logic/code
System testing evaluates a complete integrated system to determine if it meets specified requirements. It tests both functional and non-functional requirements. Functional requirements include business rules, transactions, authentication, and external interfaces. Non-functional requirements include performance, reliability, security, and usability. There are different types of system testing, including black box testing which tests functionality without knowledge of internal structure, white box testing which tests internal structures, and gray box testing which is a combination. Input, installation, graphical user interface, and regression testing are examples of different types of system testing.
Testing is the process of identifying bugs and ensuring software meets requirements. It involves executing programs under different conditions to check specification, functionality, and performance. The objectives of testing are to uncover errors, demonstrate requirements are met, and validate quality with minimal cost. Testing follows a life cycle including planning, design, execution, and reporting. Different methodologies like black box and white box testing are used at various levels from unit to system. The overall goal is to perform effective testing to deliver high quality software.
11 steps of testing process - By Harshil BarotHarshil Barot
The 11-step software testing process involves verifying requirements, design, code, and installation as well as validating that user needs are met. The key steps include:
1) Developing a test plan based on an assessment of the development status.
2) Testing requirements, design, code during construction, and software changes to find defects.
3) Executing tests, recording results, and reporting findings throughout the process.
4) Conducting acceptance testing with end users to validate software meets needs.
The goal is to deliver high-quality, bug-free software through a rigorous process of verification and validation activities.
Software testing is the process of executing a program to identify errors. It involves evaluating a program's capabilities and determining if it meets requirements. Software can fail in many complex ways due to its non-physical nature. Exhaustive testing of all possibilities is generally infeasible due to complexity. The objectives of testing include finding errors through designing test cases that systematically uncover different classes of errors with minimal time and effort. Principles of testing include traceability to requirements, planning tests before coding begins, and recognizing that exhaustive testing is impossible.
This document discusses software quality, defining it as having three aspects: functional specification, quality specification, and resource specification. It describes factors of product operation quality, product revision quality, and product transition quality. Metrics for measuring qualities like correctness, reliability, efficiency, maintainability, and others are provided. The importance of software quality, intangibility of software, and accumulating errors are noted. Techniques to enhance quality like structured programming and cleanroom development are also summarized.
Software testing for project report .pdfKamal Acharya
Methods of Software Testing There are two basic methods of performing software testing: 1. Manual testing 2. Automated testing Manual Software Testing As the name would imply, manual software testing is the process of an individual or individuals manually testing software. This can take the form of navigating user interfaces, submitting information, or even trying to hack the software or underlying database. As one might presume, manual software testing is labor-intensive and slow.
1) The document discusses software testing principles, lifecycles, limitations and methods. It describes the different phases of software testing like requirements study, test case design, test execution, test closure and test process analysis.
2) It also discusses different levels of testing including unit testing, integration testing, system testing and acceptance testing. Unit testing checks individual program modules, integration testing verifies interface connections, system testing checks full application functionality, and acceptance testing gets customer approval.
3) The document provides objectives and features of good test cases and objectives of a software tester. It also outlines principles of testing like testing for failures, starting early, defining test plans, and testing for valid and invalid conditions.
System testing is performed to verify that an implemented system meets its specified requirements. There are several types of system testing that should be performed including: 1) System acceptance testing to determine if the system satisfies acceptance criteria, 2) Installation testing to ensure the system can be installed and configured properly, 3) Performance testing to measure the system's performance under different conditions such as load and stress. Proper system testing is important to ensure the system is error-free, works as intended, and is acceptable to stakeholders.
Testing is the process of executing a program with the intent of finding errors. It is important to start testing early in the software development lifecycle when errors are cheaper to fix. Exhaustive testing of all possible inputs and scenarios is impossible, so risk-based testing focuses on the most important areas. Unit testing checks individual code modules for correct behavior, while integration and system testing evaluate how components function together across the full program.
The document discusses various aspects of software testing including definitions, principles, objectives, types and processes. It defines testing as "the process of executing a program with the intent of finding errors". The key principles discussed are that testing shows presence of bugs but not their absence, exhaustive testing is impossible, early testing is beneficial, and testing must be done by an independent party. The major types of testing covered are unit testing, integration testing and system testing.
Software testing for project report system.Kamal Acharya
Methods of Software Testing There are two basic methods of performing software testing: 1. Manual testing 2. Automated testing Manual Software Testing As the name would imply, manual software testing is the process of an individual or individuals manually testing software. This can take the form of navigating user interfaces, submitting information, or even trying to hack the software or underlying database. As one might presume, manual software testing is labor-intensive and slow.
Software testing is a process used to validate and verify software to ensure it meets requirements, works as expected, and can be implemented successfully. There are various types of testing such as functional testing to verify features and non-functional testing to check performance. Testing methods include white-box testing which uses internal knowledge and black-box testing which treats the software as a black box. The goal of testing is to find defects so the software can be improved.
The document discusses various aspects of software testing including definitions, principles, activities, goals, teams, and perspectives. It defines software testing as the process of analyzing a software item to detect differences between existing and required conditions, known as bugs. Some key testing principles outlined include that test cases must include expected outputs and be written for both valid and invalid inputs. Testing activities discussed are planning, design, setup, execution, analysis and reporting, and management. The goals of testing are to ensure requirements, design, code, and resource quality. The document also discusses manual versus automated testing and different testing methods, stages, cases, types, and techniques for static testing.
Black-box testing views the program as a black box without seeing code. White-box testing examines internal structure. Gray-box combines black-box and knowledge of database validation. Test scripts are sets of automated instructions. Test suites are collections of test cases or scripts. Stress testing subjects a system to unreasonable loads to find breaking points while load testing uses representative loads.
The document discusses software testing concepts including:
- Quality assurance ensures processes are established to produce products that meet specifications.
- Testing determines if a product meets requirements and identifies failures to meet requirements.
- A test plan is written by the lead tester and includes the testing strategy, resources, and plans. It outlines test cases and procedures to validate software meets specifications.
- Testing begins in the define system phase to ensure requirements are testable, and continues through subsequent phases including product testing, acceptance testing, and deployment. Documentation and repeatable processes are critical to quality assurance.
Learn software testing with tech partnerz 2Techpartnerz
This document discusses software testing phases and definitions. It begins with an overview of formal technical reviews during the requirements, design and code phases. It then defines and describes various testing phases like unit testing, integration testing, system testing, performance testing, regression testing, alpha testing, beta testing, and user acceptance testing. For each phase, it provides details on goals, methods, and definitions. It also discusses metrics for measuring test coverage, software maturity, and reliability.
This document provides information about obtaining fully solved assignments from an assignment help service. It lists the email and phone contact information and requests students to send their semester and specialization to receive help with assignments. It also lists some of the programs and subjects that assignments are available for, including MBADS, MBAFLEX, MBAN2, and PGDISMN.
This chapter summary discusses software testing and evaluation. It covers comparing solutions to specifications, generating test data, different levels of testing, using live data, benchmarking, and quality assurance. Documentation and communication are important parts of reporting test results. Testing ensures software meets specifications and finds errors by using appropriate test data to check all parts of a program. Different levels of testing include unit, program, and system testing. Live data testing uses real data under real-life conditions. Benchmarking assesses performance against standards. Quality assurance procedures help ensure software meets criteria for correctness, reliability, efficiency, integrity, and maintainability.
Analysis and Design of Algorithms (ADA): An In-depth Exploration
Introduction:
The field of computer science is heavily reliant on algorithms to solve complex problems efficiently. The analysis and design of algorithms (ADA) is a fundamental area of study that focuses on understanding and creating efficient algorithms. This comprehensive overview will delve into the various aspects of ADA, including its importance, key concepts, techniques, and applications.
Importance of ADA:
Efficient algorithms play a critical role in various domains, including software development, data analysis, artificial intelligence, and optimization. ADA provides the tools and techniques necessary to design algorithms that are both correct and efficient. By analyzing the performance characteristics of algorithms, ADA enables computer scientists and engineers to develop solutions that save time, resources, and computational power.
Key Concepts in ADA:
Correctness: ADA emphasizes the importance of designing algorithms that produce correct outputs for all possible inputs. Techniques like mathematical proofs and induction are used to establish the correctness of algorithms.
Complexity Analysis: ADA seeks to analyze the efficiency of algorithms by examining their time and space complexity. Time complexity measures the amount of time required by an algorithm to execute, while space complexity measures the amount of memory consumed.
Asymptotic Notations: ADA employs asymptotic notations, such as Big O, Omega, and Theta, to express the growth rates of functions and classify the efficiency of algorithms. These notations allow for a concise comparison of algorithmic performance.
Algorithm Design Paradigms: ADA explores various design paradigms, including divide and conquer, dynamic programming, greedy algorithms, and backtracking. Each paradigm offers a systematic approach to solving problems efficiently.
Techniques in ADA:
Divide and Conquer: This technique involves breaking down a problem into smaller subproblems, solving them independently, and combining the solutions to obtain the final result. Well-known algorithms like Merge Sort and Quick Sort utilize the divide and conquer approach.
Dynamic Programming: Dynamic programming breaks down a complex problem into a series of overlapping subproblems and solves them in a bottom-up manner. This technique optimizes efficiency by storing and reusing intermediate results. The Fibonacci sequence calculation is a classic example of dynamic programming.
Greedy Algorithms: Greedy algorithms make locally optimal choices at each step, with the hope of achieving a global optimal solution. These algorithms are efficient but may not always yield the best overall solution. The Huffman coding algorithm for data compression is a widely used example of a greedy algorithm.
Backtracking: Backtracking involves searching for a solution to a problem by incrementally building a solution and undoing the choices that lead to dead-ends.
Software quality refers to how well a software product or service meets requirements and expectations. It is subjective as it depends on the perspective of the customer. Common aspects of quality include the software being bug-free, delivered on time and on budget, meeting requirements, and being maintainable. True software quality can only be determined by measuring how well the software serves its intended purpose from the viewpoint of all stakeholders.
AgentExchange is Salesforce’s latest innovation, expanding upon the foundation of AppExchange by offering a centralized marketplace for AI-powered digital labor. Designed for Agentblazers, developers, and Salesforce admins, this platform enables the rapid development and deployment of AI agents across industries.
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Tests, especially unit tests, are the developers’ superheroes. They allow us to mess around with our code and keep us safe.
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Unittest and pytest are the most popular testing frameworks in Python. Overall, pytest provides some advantages, including simpler assertion, reuse of fixtures, and interoperability. Due to such benefits, multiple projects in the Python ecosystem have migrated from unittest to pytest. To facilitate the migration, pytest can also run unittest tests, thus, the migration can happen gradually over time. However, the migration can be timeconsuming and take a long time to conclude. In this context, projects would benefit from automated solutions to support the migration process. In this paper, we propose TestMigrationsInPy, a dataset of test migrations from unittest to pytest. TestMigrationsInPy contains 923 real-world migrations performed by developers. Future research proposing novel solutions to migrate frameworks in Python can rely on TestMigrationsInPy as a ground truth. Moreover, as TestMigrationsInPy includes information about the migration type (e.g., changes in assertions or fixtures), our dataset enables novel solutions to be verified effectively, for instance, from simpler assertion migrations to more complex fixture migrations. TestMigrationsInPy is publicly available at: https://github.com/altinoalvesjunior/TestMigrationsInPy.
This presentation explores code comprehension challenges in scientific programming based on a survey of 57 research scientists. It reveals that 57.9% of scientists have no formal training in writing readable code. Key findings highlight a "documentation paradox" where documentation is both the most common readability practice and the biggest challenge scientists face. The study identifies critical issues with naming conventions and code organization, noting that 100% of scientists agree readable code is essential for reproducible research. The research concludes with four key recommendations: expanding programming education for scientists, conducting targeted research on scientific code quality, developing specialized tools, and establishing clearer documentation guidelines for scientific software.
Presented at: The 33rd International Conference on Program Comprehension (ICPC '25)
Date of Conference: April 2025
Conference Location: Ottawa, Ontario, Canada
Preprint: https://arxiv.org/abs/2501.10037
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2. Introduction-
This testing focuses on what should be the major
risks faced in operating a single software
package on many different platforms.
It is essential that the software to be tested on
multiple platforms be validated prior to
multiplatform testing.
Combining software validation testing with
multiplatform testing normally will slow the test
process and increase the cost.
Multiplatform testing is a costly, time-
consuming, and extensive component of testing
3. Software designed to run on more than
one platform must undergo two tests-
1. The first step is to validate that the
software performs its intended functions.
This involves seven-step testing process.
2. The second step is that the software will
perform in the same manner regardless
of the platform on which it is executed.
This is a six-task testing process.
4. Seven-Step Process
The seven step process represents the
software development process and the
seven-step software testing process.
Both processes commence at the same
time and proceed concurrently through the
end of the project.
5. Seven-Step Software Testing Process
Define
Requirement
s
Design
Software
Build
Software
Install
Software
Operate &
maintain
software
STEP 7
Post implementation
analysis
STEP 1
Organizing for
testing
STEP 2
Developing the Test
Plan
STEP 3
Verification Testing
STEP 4
Validation Testing
STEP 5
Analyzing & Reporting
Test Results
STEP 6
Acceptance &
Operational Testing
6. Contd…
1. Organizing for testing-
a. Define test scope- Determine which type of
testing is to be performed.
b. Organize the test team- Determine who should
be assigned to the test team, based on the type of
testing to be performed.
c. Assess development plan & status- Testers will
check the completeness & correctness of the
project plan & estimate the amount of resources
they will need to test the implemented software.
7. 2. Developing the test plan-
a. Perform risk analysis- Identify the test risks.
b. Write the test plan- Test plan should be written
properly and follow the same step as any software
planning process.
3. Verification testing-
a. Test software requirements- Testers must
determine that the requirements are accurate and
complete & do not conflict with one another.
b. Test software design- Tests both external &
internal design through verification techniques.
c. Test software construction- It is cheaper to identify
defects during the construction phase.
8. 4. Validation Testing-
a. Testing of code in a dynamic state.
b. Record the results.
5. Analyzing and Reporting test results-
a. Analyze the test results- Examine the test results
to determine where action is required.
b. Develop test reports- It may be oral & written and
should be reported to appropriate parties as early as
possible so that they can be corrected at the lowest
possible cost.
9. 6. Acceptance and operational testing-
a. Perform acceptance testing- It enables users of
the software to evaluate the applicability and usability
of the software in performing their day-to-day
functions.
b. Test software installation- This tests the interface
to operating software, related software and operating
procedures.
c. Test software changes- Whenever requirements
change, the test plan must change and the impact of
that change on software systems must be tested and
evaluated.
10. 7. Post-implementation analysis-
Test improvements can be achieved by evaluating
the effectiveness of testing at the end of each software
test assignment. It should include developers, users of
the software and quality assurance professionals.
11. Six-Task Process
Testers face three major challenges when testing
in a multiplatform environment:
1. Determining the type of platform that users
operate for the processing
2. Determining which software packages are
available to those users
3. Determining the type of processing users will
perform in a multiplatform environment.
Testers must make judgments on the most likely
platforms to be used, the most likely software
packages possessed by the users, and the most
likely actions users will perform on a multiplat-
form environment.
12. In developing a test plan for testing in a
multiplatform environment, the testers
need to make decisions regarding those three
challenges. If a test plan is viewed as a contract,
then in the test plan the testers can state:
■Testing will occur on these platforms.
■Testing will validate that these software
packages are useable in processing in a
multiplatform environment.
■Only a defined number of uses will be tested.
Testers should attempt to identify the risks
associated with not testing on certain platforms,
certain packages, or certain application processes.
14. 1.Input-
The two inputs for testing in a multiplatform
environment are as follows:
1.A list of the platforms on which software must
execute.
2. The software package(s) to be tested is input to
the test process. This software must be validated
that it performs its functions correctly prior to
multiplatform testing.
15. Task 1: Define Platform Configuration
Concerns
Develop a list of potential concerns about the
environment and determine their validity.
Process for identifying concerns is error guessing,
which attempts to anticipate problems within the software
package and its operation.
Studies by IBM- Same types of software defects occur
with the same frequency from project to project.
(example- problem of data exceeding its allocated field)
Error guessing requires that the error-guessing group
understands how the platform works and knows how the
software functions.
Preferable to involve the group who tested the software
functions as they will know how software works.
2.Do Procedures
16. It is better to include two or more people because of
the powerful synergistic effect i.e. synergism which
means one individual’s comments spark another
individual to think.
Requires a recorder to write down the ideas
developed.
Each member is allowed time to express what he or
she believes.
After initial-go round, recorder reads back the items
and open or interactive discussion commences.
There can be no criticism of errors raised or the
individual who raised them. All comments must be
stated positively.
Permission of criticism will cease the
communication and value of the process will be lost.
The error guessing process lasts no longer then 15
minutes and rarely exceed 1 hour.
17. The group should be removed from normal business
interruptions as the process require total concentration.
The end product is a list of potential error conditions for
additional investigation and testing.
The following is a short list of some questions to
brainstorm during error guessing--
■Does the software have any unusual transactions?
■What are the most common errors that you are now making?
■What would happen if you forgot to perform one of the steps?
■What would happen if you did not enter all of the data in an input
transaction?
■Will you be able to determine who performed what computer operation in
case questions arise regarding the correctness of operations?
The questions are not intended to be complete, nor do
they need to be answered precisely. Their sole purpose is
to steer you into areas for further exploration regarding
potential errors.
19. Task 2: List Needed Platform Configurations
The needed platforms are either those that will be
advertised as acceptable for using the software, or
platforms within an organization on which the software
will be executed.
Testers must then determine whether those platforms are
available for testing.
If the exact platform is not available, the testers need to
determine whether an existing platform is acceptable.
If the needed platform is not available, the testers must
make a determination of whether to obtain such a platform
or accept the risk that the software will be released without
testing that specific platform.
21. Task 3: Assess Test Room Configurations
The testers need to determine whether the platforms
available in the test room are acceptable for testing. This
involves the following two steps:
1. For each needed platform , document the platform to
be used for testing.
2. Make a determination as to whether the available
platform is acceptable for testing. If the platform is not
acceptable, note any actions to be taken.
22. Task 4: List Structural Components Affected by the
Platform(s)
Structural testing deals with the architecture of the
system. Architecture describes how the system is put
together.
Some of the architectural problems that could affect
computer processing include:
■ Internal limits on the number of events that can
occur in a transaction (example, the number of products
that can be included on an invoice).
■ Maximum size of fields (example, the quantity is only
two positions in length, making it impossible to enter an
order for more than 99 items).
■ Disk storage limitations (for example, you are
permitted to have only
X customers).
■ Performance limitations (for example, the time to
process transactions jumps significantly when you enter
more than X transactions).
23. Each software system is finite and has built-in
limitations. Sometimes the vendor tells you these
limitations, sometimes you can find them
if you search through the documentation, and sometimes
you won’t know them until they occur.
Structural testing also relates to file-handling problems.
Such file problems include incorrect processing
when the last record on file is updated or adding a record
that will become the first record on a file.
The test team needs to identify the structural
components of functions that will be affected by the
platform. They may want to use the error-guessing
technique described in Task 1 to identify
these structural components.
25. Task 5: List Interfaces the platform Affects
Systems tend to fail at interface points—that is, the
points at which control is passed from one processing
component to another (for example, when data is retrieved
from a database, output reports are printed or transmitted,
or a person interrupts processing to make a correction).
The purpose of this task is to identify those interfaces
so that they can be tested. Some of these interfaces will
also overlap the software structural components affected
by the platform.
If the test has been included in the structural component
task Work Paper, it need not be duplicated in the test
recommended in this task.
26. This is a two-part task-
The first part is to identify the interfaces within the
software systems. These interfaces should be readily
identifiable in the software’s user manual.
The second part is to determine whether those
interfaces could be affected by the specific platform on
which the software executes. This is a judgmental
exercise.
The Work Paper should identify the platform on which
the interface may be affected, the interface itself, the
interface both to and from the potential effect of the
platform, and the test(s) that should be undertaken to
validate whether the interface is impacted by the platform.
This same test for a single interface may have to be
performed on multiple platforms.
28. Task 6: Execute the Tests
The platform test should be executed in the same manner
as other tests are executed in the seven-step software
testing process.
The only difference may be that the same test would be
performed on multiple platforms to determine that
consistent processing occurs.
29. 3.Check Procedures-
Prior to completing multiplatform testing, determination
should be made that testing was performed correctly.
Work Paper provides a series of questions to challenge
the correctness of multiplatform testing.
A Yes response to those items indicates that
multiplatform testing was performed correctly.
A No response indicates that it may or may not have
been done correctly.
Each No response should be clarified in the Comments
column.
The N/A column is for items that are not applicable to
this specific platform test.
30. Work Paper 5- For Multiplatform Quality
Control checklist
32. 4.Output-
The output from this test process is a report
indicating the following:
■Structural components that work or don’t work
by platform.
■Interfaces that work or don’t work by platform.
■Multiplatform operational concerns that have
been eliminated or substantiated
■Platforms on which the software should operate
but that have not been tested.
The report will be used to clarify the software’s
operating instructions and/or make changes to the
software.