overview of system programming. level of system software.software hierarchy and
life cycle of source program. system software development and trends of system software.
A debugger is a software program used to test and find bugs in other programs. There are two main types of debuggers: command-line debuggers which require compilation with debug switches, and graphic debuggers used in integrated development environments like Visual Studio. Debuggers allow programmers to set breakpoints, examine memory values, test conditions, and step through code line-by-line to isolate and fix bugs. Common debugging tools include those for JavaScript, C, C++, Java, and other languages.
Algorithmic software cost modeling uses mathematical functions to estimate project costs based on inputs like project characteristics, development processes, and product attributes. COCOMO is a widely used algorithmic cost modeling method that estimates effort in person-months and development time based on source lines of code and cost adjustment factors. It has basic, intermediate, and detailed models and accounts for factors like application domain experience, process quality, and technology changes.
This document discusses system software and its evolution. It defines system software as programs designed to operate and control computer hardware, with examples being operating systems and assemblers. Application software enables users to complete tasks. There are two main types of system software components: macros, which expand instructions to perform tasks, and assemblers, which translate programs into machine code. The document then outlines the evolution of system software from early machine code programming to modern operating systems with features like paging, virtual memory, and time sharing to better manage resources and improve efficiency.
Defining the Problem - Goals and requirementsStephennancy
This document discusses goals and requirements in software engineering projects. It makes the following key points:
- Goals define targets for both the development process and final work products, and can be qualitative or quantitative. Examples of each type are given.
- Requirements specify the capabilities needed to solve the problem, and include functional, performance, and interface requirements. They provide standards for the project and product.
- Both goals and requirements should be specified quantitatively when possible to avoid later misunderstandings, though this can be difficult in the planning phase. Methods for verification should also be defined.
- High-level goals can be translated into specific requirements related to quality attributes like reliability. Milestones can quantify goals
Software maintenance typically requires 40-60% of the total lifecycle effort for a software product, with some cases requiring as much as 90%. A widely used rule of thumb is that maintenance activities are distributed as 60% for enhancements, 20% for adaptations, and 20% for corrections. Studies show the typical level of effort devoted to software maintenance is around 50% of the total lifecycle effort. Boehm suggests measuring maintenance effort using an activity ratio that considers the number of instructions added or modified over the total instructions. The effort required can then be estimated using programmer months based on the activity ratio and an effort adjustment factor. Emphasis on reliability during development can reduce future maintenance effort.
Presentation on component based software engineering(cbse)Chandan Thakur
The document presents an overview of component based software engineering. It discusses what a component is, the fundamental principles of CBSE, the CBSE development lifecycle, and metrics used in CBSE. Benefits include reduced complexity and development time while difficulties include quality of components and satisfying requirements. CBSE uses pre-built components while traditional SE builds from scratch. Current component technologies discussed are CORBA, COM, EJB, and IDL. Applications of CBSE are in many domains.
This document discusses software maintenance. It defines maintenance as modifying software after delivery to fix bugs, improve performance, or adapt to changes. Approximately 70% of software costs are for maintenance. Maintainability refers to how easy software is to correct, adapt, or enhance. Common maintenance types are corrective, adaptive, and perfective. Proper documentation and design are important to reduce maintenance costs and issues like degraded structure over time.
Estimation determines the resources needed to build a system and involves estimating the software size, effort, time, and cost. It is based on past data, documents, assumptions, and risks. The main steps are estimating the software size, effort, time, and cost. Software size can be estimated in lines of code or function points. Effort estimation calculates person-hours or months based on software size using formulas like COCOMO-II. Cost estimation considers additional factors like hardware, tools, personnel skills, and travel. Techniques for estimation include decomposition and empirical models like Putnam and COCOMO, which relate size to time and effort.
Reengineering involves improving existing software or business processes by making them more efficient, effective and adaptable to current business needs. It is an iterative process that involves reverse engineering the existing system, redesigning problematic areas, and forward engineering changes by implementing a redesigned prototype and refining it based on feedback. The goal is to create a system with improved functionality, performance, maintainability and alignment with current business goals and technologies.
The document discusses some key issues with conventional software management approaches like the waterfall model. It notes that software development is unpredictable and that management discipline is more important for success than technology. Some problems with the waterfall model are late risk resolution, adversarial stakeholder relationships due to rigid documentation requirements, and a focus on documents over engineering work. The document also provides metrics on the relative costs of development versus maintenance and how people are a major factor in productivity.
Presentacion Ciclo de vida- Ingenieria del softwareSamuelSanchez136
Este documento presenta una introducción a los ciclos de vida de ingeniería de software. Define los ciclos de vida, fases e incluye descripciones de modelos comunes como la cascada, prototipos y espiral. También cubre conceptos clave como requisitos, diseño, implementación, pruebas y mantenimiento.
Unit testing is often automated but it can also be done manually. Debugging is a process of line by line execution of the code/ script with the intent of finding errors/ fixing the defects.
The document discusses factors related to software project size and effort. It provides the following key points:
1) Software development and maintenance can account for a significant portion of economic activity, with estimates that it will account for 12.5% of the US GDP by 1990.
2) Most effort is spent on maintenance rather than development, with estimates that maintenance accounts for 60-90% of total effort.
3) Software project size is categorized based on factors like number of programmers, duration, lines of code, and interactions/complexity. These range from trivial single-programmer projects to extremely large projects involving thousands of programmers over 5-10 years.
4) A 1964 study found that programmers only spent
The document discusses different structures for programming teams:
- Democratic structure where all members participate in decisions and leadership rotates.
- Chief programmer structure with one lead programmer who designs work and manages others.
- Hierarchical structure that combines aspects of the democratic and chief programmer models with levels like project leader, senior programmers, and junior programmers.
The structures vary in things like communication paths, decision making, and suitability for different types and sizes of projects.
Component-based software engineering (CBSE) is a process that emphasizes designing and building computer systems using reusable software components. It focuses on integrating existing components rather than developing everything from scratch. A key benefit of CBSE is reducing development time and costs by leveraging reusable components. The CBSE process involves requirements specification, component analysis, system design using existing components, development and integration of components, and system validation. CBSE aims to increase quality, productivity, and shorten development time by facilitating reuse of well-tested components.
This document discusses metrics that can be used to measure software processes and projects. It begins by defining software metrics and explaining that they provide quantitative measures that offer insight for improving processes and projects. It then distinguishes between metrics for the software process domain and project domain. Process metrics are collected across multiple projects for strategic decisions, while project metrics enable tactical project management. The document outlines various metric types, including size-based metrics using lines of code or function points, quality metrics, and metrics for defect removal efficiency. It emphasizes integrating metrics into the software process through establishing a baseline, collecting data, and providing feedback to facilitate continuous process improvement.
This document provides an overview of software maintenance. It discusses that software maintenance is an important phase of the software life cycle that accounts for 40-70% of total costs. Maintenance includes error correction, enhancements, deletions of obsolete capabilities, and optimizations. The document categorizes maintenance into corrective, adaptive, perfective and preventive types. It also discusses the need for maintenance to adapt to changing user requirements and environments. The document describes approaches to software maintenance including program understanding, generating maintenance proposals, accounting for ripple effects, and modified program testing. It discusses challenges like lack of documentation and high staff turnover. The document also introduces concepts of reengineering and reverse engineering to make legacy systems more maintainable.
This document provides an introduction to software engineering. It discusses the evolving role of software, characteristics of software like correctness and maintainability, and categories of software like system software and web applications. It also covers legacy software, common software myths, project management processes, and challenges with project estimation. The key aspects of software engineering like the definition, development, and maintenance phases are summarized.
Reengineering including reverse & forward EngineeringMuhammad Chaudhry
The document discusses forward engineering and reverse engineering. Reverse engineering involves extracting design information from source code through activities like data and processing analysis. This helps understand the internal structure and functionality. Forward engineering applies modern principles to redevelop existing applications, extending their capabilities. It may involve migrating applications to new architectures like client-server or object-oriented models. Reverse engineering provides critical information for both maintenance and reengineering existing software.
The document discusses software development lifecycles and strategies. It describes:
1) Common lifecycle activities like planning, development, testing and maintenance. Different models can be used depending on the product.
2) Solution strategies are developed to determine the nature of possible solutions and provide a framework for design and implementation. The best strategies are developed by trained groups using techniques like brainstorming.
3) The phased lifecycle model involves a series of defined activities with inputs, processes, and outputs at each phase. Resources are required to complete each defined phase.
This document outlines various artifact sets produced during the software engineering process, including requirement, design, implementation, deployment, test, and management artifacts. It discusses the artifacts in each set and how they evolve over the software lifecycle. The key artifact sets are the requirement set containing the engineering context, the design set representing different abstraction levels, the implementation set with source code, and the deployment set for delivering the software to users. Test artifacts must also be developed concurrently and documented similarly. Management artifacts include documents for planning, tracking status and releases, and defining the development environment.
This document discusses software project management artifacts. Artifacts are organized into management and engineering sets. The management set includes artifacts like the work breakdown structure, business case, and software development plan. The engineering set includes requirement, design, implementation, and deployment artifact sets. Each set captures information through various notations and tools to manage the software development lifecycle.
Characterizing the Software Process: A Maturity FrameworkSachin Hiriyanna
Software Development Process, Maturity Framework is also called as CMM (Capability Maturity Model). This paper is published by Dr. Watts S. Humphrey. These slides help you understand the framework.
This document discusses key concepts for managing software projects and engineering teams. It covers the four elements of projects (people, product, process, project), stakeholders, team structures, communication methods, defining the product scope, decomposing problems, selecting a development process, and practices for successful projects. The overall focus is on planning teams, work, and coordination to deliver quality software on time and on budget.
This document discusses software project management. It outlines software processes, common problems, and methods for improving processes. Software processes involve many elements and sub-processes. Common problems include cost overruns, schedule delays, low productivity, and poor quality. There are three methods for improving processes: meta processes focus on organizational strategies and profitability, macro processes produce software within constraints for a project, and micro processes focus on iterations and risk resolution for a project team. The objective of process improvement is to maximize resources for productive activities and minimize overhead impacts on resources like personnel and schedule to ultimately enhance product quality.
The Delphi technique was developed to gain expert consensus on estimates without group influence. It can be adapted for software cost estimation by having estimators provide anonymous estimates in rounds. A coordinator summarizes estimates between rounds and asks outliers to justify differences, iterating until consensus. A variation allows group discussion with the coordinator but maintains anonymous estimating to focus on variances. Additional information may be needed if consensus is not reached.
A strategy for software testing integrates the design of software test cases into a well-planned series of steps that result in successful development of the software.
The document discusses key concepts in software design, including:
- Design involves modeling the system architecture, interfaces, and components before implementation. This allows assessment and improvement of quality.
- Important design concepts span abstraction, architecture, patterns, separation of concerns, modularity, information hiding, and functional independence. Architecture defines overall structure and interactions. Patterns help solve common problems.
- Separation of concerns and related concepts like modularity and information hiding help decompose problems into independently designed and optimized pieces to improve manageability. Functional independence means each module has a single, well-defined purpose with minimal interaction.
A system is a collection of elements or components organized for a common purpose. A system's life cycle includes feasibility study, analysis and specification, design, implementation, and maintenance/support phases. During feasibility study, the problem and scope are defined. Analysis and specification gathers requirements. Design transforms requirements into a structure. Implementation codes the design. Maintenance supports the system after installation and implements changes over time.
The document discusses software engineering and provides definitions and explanations of key concepts. It defines software, engineering, and software engineering. It explains that software engineering uses scientific principles and methods to develop reliable and efficient software products. The document also summarizes different software life cycle models including waterfall, incremental, prototyping, spiral and agile models. It explains the various phases in the software development life cycle such as requirements gathering, design, coding, testing etc.
Reengineering involves improving existing software or business processes by making them more efficient, effective and adaptable to current business needs. It is an iterative process that involves reverse engineering the existing system, redesigning problematic areas, and forward engineering changes by implementing a redesigned prototype and refining it based on feedback. The goal is to create a system with improved functionality, performance, maintainability and alignment with current business goals and technologies.
The document discusses some key issues with conventional software management approaches like the waterfall model. It notes that software development is unpredictable and that management discipline is more important for success than technology. Some problems with the waterfall model are late risk resolution, adversarial stakeholder relationships due to rigid documentation requirements, and a focus on documents over engineering work. The document also provides metrics on the relative costs of development versus maintenance and how people are a major factor in productivity.
Presentacion Ciclo de vida- Ingenieria del softwareSamuelSanchez136
Este documento presenta una introducción a los ciclos de vida de ingeniería de software. Define los ciclos de vida, fases e incluye descripciones de modelos comunes como la cascada, prototipos y espiral. También cubre conceptos clave como requisitos, diseño, implementación, pruebas y mantenimiento.
Unit testing is often automated but it can also be done manually. Debugging is a process of line by line execution of the code/ script with the intent of finding errors/ fixing the defects.
The document discusses factors related to software project size and effort. It provides the following key points:
1) Software development and maintenance can account for a significant portion of economic activity, with estimates that it will account for 12.5% of the US GDP by 1990.
2) Most effort is spent on maintenance rather than development, with estimates that maintenance accounts for 60-90% of total effort.
3) Software project size is categorized based on factors like number of programmers, duration, lines of code, and interactions/complexity. These range from trivial single-programmer projects to extremely large projects involving thousands of programmers over 5-10 years.
4) A 1964 study found that programmers only spent
The document discusses different structures for programming teams:
- Democratic structure where all members participate in decisions and leadership rotates.
- Chief programmer structure with one lead programmer who designs work and manages others.
- Hierarchical structure that combines aspects of the democratic and chief programmer models with levels like project leader, senior programmers, and junior programmers.
The structures vary in things like communication paths, decision making, and suitability for different types and sizes of projects.
Component-based software engineering (CBSE) is a process that emphasizes designing and building computer systems using reusable software components. It focuses on integrating existing components rather than developing everything from scratch. A key benefit of CBSE is reducing development time and costs by leveraging reusable components. The CBSE process involves requirements specification, component analysis, system design using existing components, development and integration of components, and system validation. CBSE aims to increase quality, productivity, and shorten development time by facilitating reuse of well-tested components.
This document discusses metrics that can be used to measure software processes and projects. It begins by defining software metrics and explaining that they provide quantitative measures that offer insight for improving processes and projects. It then distinguishes between metrics for the software process domain and project domain. Process metrics are collected across multiple projects for strategic decisions, while project metrics enable tactical project management. The document outlines various metric types, including size-based metrics using lines of code or function points, quality metrics, and metrics for defect removal efficiency. It emphasizes integrating metrics into the software process through establishing a baseline, collecting data, and providing feedback to facilitate continuous process improvement.
This document provides an overview of software maintenance. It discusses that software maintenance is an important phase of the software life cycle that accounts for 40-70% of total costs. Maintenance includes error correction, enhancements, deletions of obsolete capabilities, and optimizations. The document categorizes maintenance into corrective, adaptive, perfective and preventive types. It also discusses the need for maintenance to adapt to changing user requirements and environments. The document describes approaches to software maintenance including program understanding, generating maintenance proposals, accounting for ripple effects, and modified program testing. It discusses challenges like lack of documentation and high staff turnover. The document also introduces concepts of reengineering and reverse engineering to make legacy systems more maintainable.
This document provides an introduction to software engineering. It discusses the evolving role of software, characteristics of software like correctness and maintainability, and categories of software like system software and web applications. It also covers legacy software, common software myths, project management processes, and challenges with project estimation. The key aspects of software engineering like the definition, development, and maintenance phases are summarized.
Reengineering including reverse & forward EngineeringMuhammad Chaudhry
The document discusses forward engineering and reverse engineering. Reverse engineering involves extracting design information from source code through activities like data and processing analysis. This helps understand the internal structure and functionality. Forward engineering applies modern principles to redevelop existing applications, extending their capabilities. It may involve migrating applications to new architectures like client-server or object-oriented models. Reverse engineering provides critical information for both maintenance and reengineering existing software.
The document discusses software development lifecycles and strategies. It describes:
1) Common lifecycle activities like planning, development, testing and maintenance. Different models can be used depending on the product.
2) Solution strategies are developed to determine the nature of possible solutions and provide a framework for design and implementation. The best strategies are developed by trained groups using techniques like brainstorming.
3) The phased lifecycle model involves a series of defined activities with inputs, processes, and outputs at each phase. Resources are required to complete each defined phase.
This document outlines various artifact sets produced during the software engineering process, including requirement, design, implementation, deployment, test, and management artifacts. It discusses the artifacts in each set and how they evolve over the software lifecycle. The key artifact sets are the requirement set containing the engineering context, the design set representing different abstraction levels, the implementation set with source code, and the deployment set for delivering the software to users. Test artifacts must also be developed concurrently and documented similarly. Management artifacts include documents for planning, tracking status and releases, and defining the development environment.
This document discusses software project management artifacts. Artifacts are organized into management and engineering sets. The management set includes artifacts like the work breakdown structure, business case, and software development plan. The engineering set includes requirement, design, implementation, and deployment artifact sets. Each set captures information through various notations and tools to manage the software development lifecycle.
Characterizing the Software Process: A Maturity FrameworkSachin Hiriyanna
Software Development Process, Maturity Framework is also called as CMM (Capability Maturity Model). This paper is published by Dr. Watts S. Humphrey. These slides help you understand the framework.
This document discusses key concepts for managing software projects and engineering teams. It covers the four elements of projects (people, product, process, project), stakeholders, team structures, communication methods, defining the product scope, decomposing problems, selecting a development process, and practices for successful projects. The overall focus is on planning teams, work, and coordination to deliver quality software on time and on budget.
This document discusses software project management. It outlines software processes, common problems, and methods for improving processes. Software processes involve many elements and sub-processes. Common problems include cost overruns, schedule delays, low productivity, and poor quality. There are three methods for improving processes: meta processes focus on organizational strategies and profitability, macro processes produce software within constraints for a project, and micro processes focus on iterations and risk resolution for a project team. The objective of process improvement is to maximize resources for productive activities and minimize overhead impacts on resources like personnel and schedule to ultimately enhance product quality.
The Delphi technique was developed to gain expert consensus on estimates without group influence. It can be adapted for software cost estimation by having estimators provide anonymous estimates in rounds. A coordinator summarizes estimates between rounds and asks outliers to justify differences, iterating until consensus. A variation allows group discussion with the coordinator but maintains anonymous estimating to focus on variances. Additional information may be needed if consensus is not reached.
A strategy for software testing integrates the design of software test cases into a well-planned series of steps that result in successful development of the software.
The document discusses key concepts in software design, including:
- Design involves modeling the system architecture, interfaces, and components before implementation. This allows assessment and improvement of quality.
- Important design concepts span abstraction, architecture, patterns, separation of concerns, modularity, information hiding, and functional independence. Architecture defines overall structure and interactions. Patterns help solve common problems.
- Separation of concerns and related concepts like modularity and information hiding help decompose problems into independently designed and optimized pieces to improve manageability. Functional independence means each module has a single, well-defined purpose with minimal interaction.
A system is a collection of elements or components organized for a common purpose. A system's life cycle includes feasibility study, analysis and specification, design, implementation, and maintenance/support phases. During feasibility study, the problem and scope are defined. Analysis and specification gathers requirements. Design transforms requirements into a structure. Implementation codes the design. Maintenance supports the system after installation and implements changes over time.
The document discusses software engineering and provides definitions and explanations of key concepts. It defines software, engineering, and software engineering. It explains that software engineering uses scientific principles and methods to develop reliable and efficient software products. The document also summarizes different software life cycle models including waterfall, incremental, prototyping, spiral and agile models. It explains the various phases in the software development life cycle such as requirements gathering, design, coding, testing etc.
The document outlines the steps in the software development life cycle (SDLC), including initial communication, requirement gathering, feasibility analysis, system analysis, software design, coding, testing, integration, implementation, and maintenance. It describes each step in the SDLC process such as gathering requirements from stakeholders, analyzing feasibility, designing the software system, writing code, testing at various stages, integrating the software, implementing it for users, and maintaining it with updates. The SDLC provides a framework for software development projects by describing the key activities that occur at each phase.
The document discusses system software and provides definitions and views of system software. It defines system software as software that enables users to use computer resources and provides functionality. It discusses the goals of system software as providing user convenience, efficient use of resources, and preventing interference between users. The document outlines abstract views of a computer system including the user interface, application programs, operating system, and hardware. It also discusses user-centric and system-centric views of system software.
This document discusses software configuration management (SCM). It provides definitions of SCM from sources like IEEE standards and the SWEBOK. SCM is defined as the process of managing changes to software projects through their lifecycle. Key aspects of SCM discussed include configuration items, versions and variants, baselines, change requests, SCM tools, and the unified change management process.
This document discusses key concepts in software engineering. It defines software engineering as the systematic development of software using scientific principles and methods. It discusses different types of software (S-type, P-type, E-type) based on their evolution characteristics. The document also covers software paradigms, components, characteristics, qualities, and evolution process. It notes that software engineering aims to develop efficient and reliable software through well-defined principles and procedures.
Mca i-fundamental of computer-u-2- application and system softwareRai University
This document provides information on different types of software and software development models. It begins by defining system software and application software. System software includes operating systems, compilers, loaders, linkers, and interpreters and helps manage computer hardware. Application software includes programs like word processors, spreadsheets, databases, and presentations that perform tasks for users. The document then discusses software development models including the waterfall model, V-shaped model, and evolutionary prototyping model. It provides details on the phases and characteristics of each model.
Bca i-fundamental of computer-u-2- application and system softwareRai University
This document provides information on different types of software and software development models. It discusses:
1) The differences between system software (e.g. operating systems, compilers) which manage hardware, and application software (e.g. word processors, spreadsheets) which perform tasks for users.
2) Common software development models including the waterfall model, V-shaped model, and evolutionary prototyping model. The waterfall model follows sequential phases of requirements, design, implementation, and testing. The V-shaped model adds parallel testing phases. Prototyping allows iterative user feedback.
3) Descriptions of various system software including operating systems, compilers, linkers, loaders, and interpreters and
Bba i-introduction to computer-u-2- application and system softwareRai University
This document provides information on different types of software and software development models. It discusses:
- System software includes operating systems, compilers, loaders, linkers, and interpreters which manage hardware and enable application software. Application software includes programs like word processors, spreadsheets, databases, and presentations that perform tasks for users.
- The waterfall model follows sequential phases of requirements, design, implementation, and testing. It works well for stable requirements but lacks flexibility. The V-shaped model adds parallel testing phases. Evolutionary prototyping builds prototypes early for user feedback before final development.
This document provides summaries of different types of computer software and software development models.
It begins by defining system software and application software. System software includes operating systems, compilers, loaders, linkers, and interpreters. Application software includes programs like word processors, spreadsheets, databases, and presentations that do real work for users.
It then summarizes several software development models: the waterfall model which progresses in linear phases; structured evolutionary prototyping which uses iterative prototyping and user feedback; and the spiral model which incorporates risk analysis into iterative cycles similar to waterfall.
Bsc cs 1 fit u-2 application and system softwareRai University
System software includes operating systems and utilities that enable computer functions. Application software includes programs for specific tasks. The document describes various types of system software like compilers, loaders, and interpreters. It also discusses application software for word processing, spreadsheets, presentations, and databases. Several software development models are covered, including waterfall, V-shaped, prototyping, spiral, and evolutionary models. Each has strengths and weaknesses for different project needs.
The document discusses the system development life cycle (SDLC), which includes requirements, design, implementation, testing, deployment, operations, and maintenance. It describes the typical phases of the SDLC process - preliminary investigation, feasibility study, system analysis, system design, software development, system testing, implementation and evaluation, and maintenance. The waterfall model is presented as a common SDLC approach, with its sequential phases of requirement analysis, system design, implementation, testing, deployment, and maintenance.
This document provides an introduction to computing, software engineering, and the system development life cycle (SDLC). It discusses software and what software engineering entails. It also describes different types of computer-aided software engineering (CASE) tools that can be used at various stages of the SDLC, including upper CASE tools for planning, analysis and design, and lower CASE tools for implementation, testing and maintenance. Finally, it outlines the phases of the SDLC process - preliminary investigation, planning, system analysis, design, implementation, testing, and maintenance.
Lec 01_Linux System Administration (1).pptxShabanaShafi3
This course provides students with the necessary skills to administer Linux systems. The course objectives include understanding Linux architecture, configuring Linux, writing scripts, managing user accounts and authentication, performing backups and restores, and more. Students will be assessed through quizzes, assignments, exams, and lab work. The course covers topics such as installing Linux, user account management, the command line, configuration management, system services, virtual environments, security policies, and networking.
The document discusses the software development life cycle (SDLC) which includes 8 phases: system conception, requirement gathering, system design, class design, implementation, testing, deployment, and maintenance. It states that requirement gathering focuses on what must be done without how, and involves domain and application analysis. Domain analysis emphasizes real-world objects to understand the problem domain. The implementation phase is the longest as it involves coding the requirements.
The document discusses the software engineering basics, including the software crisis, causes of the crisis, and solutions. It describes software engineering as applying scientific principles to invent, design, build, maintain and improve software products. The importance of software engineering is that it reduces complexity, minimizes costs, decreases timelines, and handles large projects to deliver reliable, effective software. The document also outlines the software development life cycle (SDLC) which includes planning, defining requirements, designing, developing, testing, deploying, and maintaining software through different stages.
In this presentation, it will cover different software development methodologies. These include the common types of SDM, and the pros and cons.
A software development methodology involves several steps. These include planning, structuring, and performance tracking.
In some instances, it may also include extreme programming. The objective is to streamline the process when developing software or any product.
Almost all software development methodologies are non-technical. This means they do not deal with the technical aspects of software design and development. They focus more on the internal operations, and other processes involved in the project.
Take note that each has its specific features. Gauge your options, and choose the best one that suits your needs.
This document describes various arithmetic instructions for the MPI (Microprocessor Intel) including ADD, SUB, ADC, SBB, INR, DCR, INX, DCX, and DAD. It provides the opcode, operands, byte size, machine cycles, and T states for each instruction. The instructions perform operations like adding, subtracting, incrementing and decrementing registers and memory values, and adjusting the accumulator from binary to BCD format.
This document discusses arrays and StringBuffer class in Java. It defines single and multi-dimensional arrays and provides examples. It also explains the difference between String and StringBuffer classes and lists common methods of StringBuffer class like append(), insert(), reverse() etc. Examples are given to demonstrate the usage of these StringBuffer methods.
This document discusses the indeterminate form 0/0. When two differentiable functions f(x) and g(x) are equal to 0 at the same point x, then the expression f(x)/g(x) results in the indeterminate form 0/0. This occurs because when both the numerator and denominator are equal to 0, the value of the fraction is undefined.
This document discusses the definition and importance of contributors in society. It defines a contributor as someone who cares about others, takes responsibility, and prioritizes team success over personal gains. Contributors support their team, act ethically, and perform their work well. Society needs contributors to help improve education, create a better community, and aid in national development. In contrast, non-contributors avoid challenges, focus only on themselves, and have a narrow vision of success. The document emphasizes that stepping outside one's comfort zone is key to becoming a strong contributor.
Electromagnetic relays automatically sense faults and isolate faulty sections by opening circuit breaker contacts. There are two main types of electromagnetic relays: attracted armature and solenoid/plunger. Attracted armature relays use a counterweighted armature that bridges contacts when a fault increases current enough to attract the armature. Solenoid/plunger relays use a solenoid to attract a plunger that closes trip contacts when current exceeds the pickup value. Induction relays use electromagnetic induction to rotate a disc between electromagnets producing torque from alternating fluxes. Thermal relays use a bimetallic strip heated by overcurrent in a coil; the different expansion rates of the metals cause the strip to
Data types can be stored in registers including numbers, letters, and symbols represented in binary-coded form. Common number systems include decimal, binary, octal, and hexadecimal. Complements are used in computers to simplify subtraction and logic operations. There are two types: r's complement and (r-1)'s complement. Micro-operations are elementary operations performed on data stored in registers, such as shift, count, clear, and load operations. They transfer data between registers or perform arithmetic, logic, or shift operations. Micro-operations are controlled by hardware that defines the register set and sequence of operations.
This document discusses computer networks and provides details about three main types: LAN, MAN, and WAN. It defines each type of network and provides examples. LAN connects computers in a small local area like a home or office using cables or wireless connections. MAN connects LANs across a larger metropolitan area, using fiber optics and routers. WAN spans the largest areas like countries and continents, with the Internet as a common example, connecting LANs globally through Internet service providers.
The document discusses various SQL SELECT statement clauses and functions including:
- The basic SELECT statement syntax and examples of selecting columns from a table
- Using WHERE to filter results based on column values and operators like AND, OR, BETWEEN
- ORDER BY to sort results in ascending or descending order
- COUNT to count rows, AVG to calculate average values, MAX and MIN to find highest and lowest values
- DISTINCT to eliminate duplicate records from the results
π0.5: a Vision-Language-Action Model with Open-World GeneralizationNABLAS株式会社
今回の資料「Transfusion / π0 / π0.5」は、画像・言語・アクションを統合するロボット基盤モデルについて紹介しています。
拡散×自己回帰を融合したTransformerをベースに、π0.5ではオープンワールドでの推論・計画も可能に。
This presentation introduces robot foundation models that integrate vision, language, and action.
Built on a Transformer combining diffusion and autoregression, π0.5 enables reasoning and planning in open-world settings.
The role of the lexical analyzer
Specification of tokens
Finite state machines
From a regular expressions to an NFA
Convert NFA to DFA
Transforming grammars and regular expressions
Transforming automata to grammars
Language for specifying lexical analyzers
RICS Membership-(The Royal Institution of Chartered Surveyors).pdfMohamedAbdelkader115
Glad to be one of only 14 members inside Kuwait to hold this credential.
Please check the members inside kuwait from this link:
https://www.rics.org/networking/find-a-member.html?firstname=&lastname=&town=&country=Kuwait&member_grade=(AssocRICS)&expert_witness=&accrediation=&page=1
This paper proposes a shoulder inverse kinematics (IK) technique. Shoulder complex is comprised of the sternum, clavicle, ribs, scapula, humerus, and four joints.
Raish Khanji GTU 8th sem Internship Report.pdfRaishKhanji
This report details the practical experiences gained during an internship at Indo German Tool
Room, Ahmedabad. The internship provided hands-on training in various manufacturing technologies, encompassing both conventional and advanced techniques. Significant emphasis was placed on machining processes, including operation and fundamental
understanding of lathe and milling machines. Furthermore, the internship incorporated
modern welding technology, notably through the application of an Augmented Reality (AR)
simulator, offering a safe and effective environment for skill development. Exposure to
industrial automation was achieved through practical exercises in Programmable Logic Controllers (PLCs) using Siemens TIA software and direct operation of industrial robots
utilizing teach pendants. The principles and practical aspects of Computer Numerical Control
(CNC) technology were also explored. Complementing these manufacturing processes, the
internship included extensive application of SolidWorks software for design and modeling tasks. This comprehensive practical training has provided a foundational understanding of
key aspects of modern manufacturing and design, enhancing the technical proficiency and readiness for future engineering endeavors.
Lidar for Autonomous Driving, LiDAR Mapping for Driverless Cars.pptxRishavKumar530754
LiDAR-Based System for Autonomous Cars
Autonomous Driving with LiDAR Tech
LiDAR Integration in Self-Driving Cars
Self-Driving Vehicles Using LiDAR
LiDAR Mapping for Driverless Cars
☁️ GDG Cloud Munich: Build With AI Workshop - Introduction to Vertex AI! ☁️
Join us for an exciting #BuildWithAi workshop on the 28th of April, 2025 at the Google Office in Munich!
Dive into the world of AI with our "Introduction to Vertex AI" session, presented by Google Cloud expert Randy Gupta.
The Fluke 925 is a vane anemometer, a handheld device designed to measure wind speed, air flow (volume), and temperature. It features a separate sensor and display unit, allowing greater flexibility and ease of use in tight or hard-to-reach spaces. The Fluke 925 is particularly suitable for HVAC (heating, ventilation, and air conditioning) maintenance in both residential and commercial buildings, offering a durable and cost-effective solution for routine airflow diagnostics.
ADVXAI IN MALWARE ANALYSIS FRAMEWORK: BALANCING EXPLAINABILITY WITH SECURITYijscai
With the increased use of Artificial Intelligence (AI) in malware analysis there is also an increased need to
understand the decisions models make when identifying malicious artifacts. Explainable AI (XAI) becomes
the answer to interpreting the decision-making process that AI malware analysis models use to determine
malicious benign samples to gain trust that in a production environment, the system is able to catch
malware. With any cyber innovation brings a new set of challenges and literature soon came out about XAI
as a new attack vector. Adversarial XAI (AdvXAI) is a relatively new concept but with AI applications in
many sectors, it is crucial to quickly respond to the attack surface that it creates. This paper seeks to
conceptualize a theoretical framework focused on addressing AdvXAI in malware analysis in an effort to
balance explainability with security. Following this framework, designing a machine with an AI malware
detection and analysis model will ensure that it can effectively analyze malware, explain how it came to its
decision, and be built securely to avoid adversarial attacks and manipulations. The framework focuses on
choosing malware datasets to train the model, choosing the AI model, choosing an XAI technique,
implementing AdvXAI defensive measures, and continually evaluating the model. This framework will
significantly contribute to automated malware detection and XAI efforts allowing for secure systems that
are resilient to adversarial attacks.
Passenger car unit (PCU) of a vehicle type depends on vehicular characteristics, stream characteristics, roadway characteristics, environmental factors, climate conditions and control conditions. Keeping in view various factors affecting PCU, a model was developed taking a volume to capacity ratio and percentage share of particular vehicle type as independent parameters. A microscopic traffic simulation model VISSIM has been used in present study for generating traffic flow data which some time very difficult to obtain from field survey. A comparison study was carried out with the purpose of verifying when the adaptive neuro-fuzzy inference system (ANFIS), artificial neural network (ANN) and multiple linear regression (MLR) models are appropriate for prediction of PCUs of different vehicle types. From the results observed that ANFIS model estimates were closer to the corresponding simulated PCU values compared to MLR and ANN models. It is concluded that the ANFIS model showed greater potential in predicting PCUs from v/c ratio and proportional share for all type of vehicles whereas MLR and ANN models did not perform well.
We introduce the Gaussian process (GP) modeling module developed within the UQLab software framework. The novel design of the GP-module aims at providing seamless integration of GP modeling into any uncertainty quantification workflow, as well as a standalone surrogate modeling tool. We first briefly present the key mathematical tools on the basis of GP modeling (a.k.a. Kriging), as well as the associated theoretical and computational framework. We then provide an extensive overview of the available features of the software and demonstrate its flexibility and user-friendliness. Finally, we showcase the usage and the performance of the software on several applications borrowed from different fields of engineering. These include a basic surrogate of a well-known analytical benchmark function; a hierarchical Kriging example applied to wind turbine aero-servo-elastic simulations and a more complex geotechnical example that requires a non-stationary, user-defined correlation function. The GP-module, like the rest of the scientific code that is shipped with UQLab, is open source (BSD license).
2. Overview of System Software
Software
• A set of instruction to perform specific tasks is called a
Program.
• The collection of one or many programs for a specific
purpose is called Software.
3. Software Hierarchy
USER
APPLICATION SOFTWARE
UTILITY
SOFTWARE
SYSTEM SOFTWARE
(INCLUDING OS)
HARDWARE
A software which is
developed to help the
user to perform
specific tasks is called
application software.
The system software
is the interface
between the
hardware and user
applications.
This software is
designed for users
to assist in
maintenance and
monitoring
activities.
6. System Programming
• System programming involves designing and writing computer programs that allow the
computer hardware to interface with the programmer and the user , leading to the
effective execution of application software on the computer system.
7. Life Cycle of Source Program
Compile Time Load Time Execution
Time
Source
Program
Assemblerof
Compiler
Object
Code
LinkageEditor
Load
Module
Loader
Binary
Memory
Image
Object
Modules
System
Libraries
Dynamic
System
Libraries
8. • Edit time : It is the phase where editing of program code takes place
and is also known as design time.
• Compile time : At this stage , the source code after editing is passed
to a translator that translates it into machine code.This
stage checks the program for inconsistencies and error
produces an executable file.
• Distribution time : In this stage that sends or distributes the program
from the entity creating it to an entity invoking it.
9. • Installation time : A program goes through the installation process ,
which makes ready for execution within the system.
• Link time : At this stage , the specific implementation of the
interface is linked and associated to the program
invoking it.
• Load time : This stage actively takes the execution image from
its stored repositories and places them into active
memory to initiate the execution.
• Run time : This stage of the life cycle in which the programmed behavior of
the source program is demonstrated.
11. • Preliminary analysis : Begin with a preliminary analysis, propose alternative
solutions, describe costs and benefits, and submit a
preliminary plan with recommendations.
• Systems analysis : Define project goals into defined functions and operations of
intended application. This involves the process of gathering
interpreting facts, diagnosing problems, and recommending
improvements to the system.
• Systems design : At this step desired features and operations are described in
details, including screen layouts, business rules, process diagram
pseudocode, and other documentation.
• System tool acquisition : It decides and works around the software tools to develop the
functionalities of the system software.
12. • Implementation : It builds the software using the software tools with all the
functionality , interfaces and support for the execution. This
may be specify as the system software adheres to the architecture.
• Maintenance : During the maintenance stage of the SDLC, the system is
assessed/evaluated to ensure it does not become obsolete. This is
where changes are made to initial software
13. Recent trends in Software Development
• Use the preprocessors against full software stack.
• JavaScript MV* frameworks rather than JavaScript files.
• CSS framework against generic cascading style sheets.
• SVG with JavaScript on canvas in competition with flash.
• Gaming framework against native game development.
• Mobile app
• Android against iOS
• Cloud services.
• Single-page Web apps against websites.