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.
This document discusses software processes and models. It covers the following key points:
1. Software processes involve activities like specification, design, implementation, validation and evolution to develop software systems. Common process models include waterfall, incremental development and reuse-oriented development.
2. Processes need to cope with inevitable changes. This can involve prototyping to avoid rework or using incremental development and delivery to more easily accommodate changes.
3. The Rational Unified Process is a modern process model with phases for inception, elaboration, construction and transition. It advocates iterative development and managing requirements and quality.
Software re-engineering involves examining, analyzing, and altering an existing software system to reconstitute it in a new form to improve maintainability and reliability. It occurs at both the business and software levels through approaches like big bang, incremental, or evolutionary. Risks include issues with tools, processes, applications, technology, strategies, and personnel.
The document discusses software re-engineering which involves reorganizing and modifying existing software systems to improve maintainability. It describes the re-engineering process which includes activities like source code translation, reverse engineering, improving program structure and modularity, and re-engineering data structures. The objectives of re-engineering are to explain why it is often more cost-effective than new development and to describe the various activities involved in the re-engineering process.
Software re-engineering is a type of preventive maintenance that modifies legacy software systems to make them more maintainable and adaptable to changing needs. The re-engineering process involves reverse engineering the system to understand its design, restructuring programs for improved readability, modularizing code into logical units, and potentially migrating to a new programming language or hardware platform. Re-engineering aims to reduce maintenance costs over time by improving system structure and documentation, though it does not allow for architectural overhauls and comes with higher costs than ongoing maintenance alone.
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.
The document discusses software re-engineering, which involves reorganizing and modifying existing software systems to make them more maintainable without changing functionality. It involves re-structuring or re-writing parts of legacy systems to add maintainability. Reasons for re-engineering include when changes are needed for only part of a system, hardware/software becomes obsolete, or new tools enable re-structuring. The benefits are reduced risk and cost compared to new development. The process involves reverse engineering, program understanding, re-structuring, modularization, and data re-engineering.
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.
System Models in Software Engineering SE7koolkampus
The document discusses various types of system models used in requirements engineering including context models, behavioral models, data models, object models, and how CASE workbenches support system modeling. It describes behavioral models like data flow diagrams and state machine models, data models like entity-relationship diagrams, and object models using the Unified Modeling Language. CASE tools can support modeling through features like diagram editors, repositories, and code generation.
Architecture design in software engineeringPreeti Mishra
The document discusses software architectural design. It defines architecture as the structure of a system's components, their relationships, and properties. An architectural design model is transferable across different systems. The architecture enables analysis of design requirements and consideration of alternatives early in development. It represents the system in an intellectually graspable way. Common architectural styles structure systems and their components in different ways, such as data-centered, data flow, and call-and-return styles.
Architectural Styles and Case Studies, Software architecture ,unit–2Sudarshan Dhondaley
Architectural styles; Pipes and filters; Data abstraction and object-oriented organization; Event-based, implicit invocation; Layered systems; Repositories; Interpreters; Process control; Other familiar architectures; Heterogeneous architectures. Case Studies: Keyword in Context; Instrumentation software; Mobile robotics; Cruise control; three vignettes in mixed style.
This document discusses key aspects of software design, including:
1. It defines software design and engineering as the process of translating requirements into a blueprint for constructing software through iterative design activities like data, architectural, interface, and component design.
2. It outlines design principles like modularity, abstraction, and refinement which help partition software into components and separate conceptual representations from implementation details.
3. It emphasizes that software architecture defines the overall structure and relationships between major elements of software, and is important for achieving conceptual integrity in software systems.
The waterfall model is a sequential model for software development where progress flows in one direction like a waterfall from conception to maintenance. It involves 8 phases: definition, design, implementation, testing, integration, deployment, maintenance and support. While it provides structure and is good for stable requirements, it is difficult to change requirements or go back to previous phases and does not allow for much iteration. The waterfall model works best for projects with clearly defined requirements and stable scope, but may not be suitable if requirements are likely to change.
Software Engineering (Introduction to Software Engineering)ShudipPal
Software engineering is concerned with all aspects of software production. It aims to develop software using systematic and disciplined approaches to reduce errors and costs. Some key challenges in software development are its high cost, difficulty delivering on time, and producing low quality software. Software engineering methods strive to address these challenges and produce software with attributes like maintainability, dependability, efficiency, usability and acceptability.
The document discusses software reuse and component-based software engineering. It describes how reuse can happen at different levels from full application systems down to individual functions. Reusing code, specifications, and designs can improve reliability, reduce risks and costs, and speed up development time. However, reuse requires an organized component library, confidence in component quality, and documentation to support adaptation. The document also outlines processes for incorporating reuse into development and enhancing the reusability of components.
Introduction to Software Project ManagementReetesh Gupta
This document provides an introduction to software project management. It defines what a project and software project management are, and discusses the key characteristics and phases of projects. Software project management aims to deliver software on time, within budget and meeting requirements. It also discusses challenges that can occur in software projects related to people, processes, products and technology. Effective project management focuses on planning, organizing, monitoring and controlling the project work.
Ian Sommerville, Software Engineering, 9th Edition Ch1Mohammed Romi
The document provides an introduction to software engineering concepts. It discusses what software engineering is, the importance of ethics in software development, and introduces three case studies that will be used as examples throughout the book. Specifically:
[1] It defines software engineering as an engineering discipline concerned with all aspects of software production. Professional and ethical practices are important.
[2] It discusses software engineering ethics and introduces the ACM/IEEE code of ethics for software engineers.
[3] It provides an overview of three case studies that will be referenced in later chapters: an insulin pump system, a patient management system, and a weather station system.
This document discusses agile software development methods. It covers topics like agile principles, extreme programming practices including test-driven development and pair programming. It also discusses scaling agile methods to larger projects using scrum, with sprints and daily stand-up meetings. Some challenges of applying agile to large, long-term projects with distributed teams are also outlined.
This document discusses software maintenance. It defines software maintenance as modifying software after delivery to correct faults, improve performance, or change attributes. The document then discusses reasons for maintenance like changing requirements or fixing errors. It outlines different maintenance types including corrective, adaptive, perfective and preventive maintenance. The document also examines maintenance models such as quick-fix, iterative enhancement, full-reuse, Boehm's model and Taute's model.
Software re-engineering is a process of examining and altering a software system to restructure it and improve maintainability. It involves sub-processes like reverse engineering, redocumentation, and data re-engineering. Software re-engineering is applicable when some subsystems require frequent maintenance and can be a cost-effective way to evolve legacy software systems. The key advantages are reduced risk compared to new development and lower costs than replacing the system entirely.
The document discusses different types of software and challenges in software engineering. It describes 7 categories of software: system software, application software, engineering/scientific software, embedded software, product-line software, web applications, and artificial intelligence software. It also outlines 4 challenges: ubiquitous computing, netsourcing, open source, and the new economy. Additionally, it presents software engineering as a layered technology with 4 layers: quality focus, process, methods, and tools. Finally, it proposes a generic process framework for software development with 5 activities: communication, planning, modeling, construction, and deployment.
This document discusses software quality factors and McCall's quality factor model. It describes McCall's three main quality factor categories: product operation factors, product revision factors, and product transition factors. Under product operation factors, it outlines reliability, correctness, integrity, efficiency, and usability requirements. It then discusses product revision factors of maintainability, flexibility, and testability. Finally, it covers product transition factors including portability, reusability, and interoperability. The document provides details on the specific requirements for each quality factor.
The document discusses key concepts in software design including abstraction, architecture, patterns, modularity, information hiding, and functional independence. It explains that software design is an iterative process that transforms requirements into a blueprint for constructing the software through design models, data structures, system architecture, interfaces, and components. Good software design exhibits qualities like being bug-free, suitable for its intended purpose, and a pleasurable user experience.
The document discusses the key tasks in requirements engineering: inception to initially understand user needs, elicitation to gather requirements, elaboration to further analyze and model requirements, negotiation to reconcile conflicts, specification to formally document requirements, validation to verify requirements quality, and management to track requirements throughout the project. The tasks involve collaborative activities like interviews and workshops to capture ambiguous and changing user needs and transform them into clear, consistent requirements that form the basis for subsequent software design and development.
This lecture provide a review of requirement engineering process. The slides have been prepared after reading Ian Summerville and Roger Pressman work. This lecture is helpful to understand user, and user requirements.
Requirements engineering process in software engineeringPreeti Mishra
Requirement Engineering (RE) involves understanding what customers want through tasks like elicitation, negotiation, and specification. RE helps establish requirements that provide a solid foundation for design and construction. The key RE tasks are inception to understand the problem, elicitation by drawing out requirements, elaboration by creating analysis models, negotiation to agree on a realistic solution, specification to formally describe requirements, validation to check for errors or issues, and management of changing requirements. RE helps software engineers better understand problems to solve through participation with customers, managers, and end users.
Software Re-Engineering in Software Engineering SE28koolkampus
Software re-engineering involves reorganizing and modifying existing software systems to improve maintainability. It includes activities like reverse engineering, program restructuring, modularization, and data re-engineering. Reverse engineering analyzes software to understand its design and specification. Program restructuring improves structure by removing complex logic and simplifying conditions. Modularization groups related program parts together. Data re-engineering analyzes and reorganizes data structures and values to create a more managed data environment. The objective is to make systems easier to understand and maintain through these re-engineering processes.
System Models in Software Engineering SE7koolkampus
The document discusses various types of system models used in requirements engineering including context models, behavioral models, data models, object models, and how CASE workbenches support system modeling. It describes behavioral models like data flow diagrams and state machine models, data models like entity-relationship diagrams, and object models using the Unified Modeling Language. CASE tools can support modeling through features like diagram editors, repositories, and code generation.
Architecture design in software engineeringPreeti Mishra
The document discusses software architectural design. It defines architecture as the structure of a system's components, their relationships, and properties. An architectural design model is transferable across different systems. The architecture enables analysis of design requirements and consideration of alternatives early in development. It represents the system in an intellectually graspable way. Common architectural styles structure systems and their components in different ways, such as data-centered, data flow, and call-and-return styles.
Architectural Styles and Case Studies, Software architecture ,unit–2Sudarshan Dhondaley
Architectural styles; Pipes and filters; Data abstraction and object-oriented organization; Event-based, implicit invocation; Layered systems; Repositories; Interpreters; Process control; Other familiar architectures; Heterogeneous architectures. Case Studies: Keyword in Context; Instrumentation software; Mobile robotics; Cruise control; three vignettes in mixed style.
This document discusses key aspects of software design, including:
1. It defines software design and engineering as the process of translating requirements into a blueprint for constructing software through iterative design activities like data, architectural, interface, and component design.
2. It outlines design principles like modularity, abstraction, and refinement which help partition software into components and separate conceptual representations from implementation details.
3. It emphasizes that software architecture defines the overall structure and relationships between major elements of software, and is important for achieving conceptual integrity in software systems.
The waterfall model is a sequential model for software development where progress flows in one direction like a waterfall from conception to maintenance. It involves 8 phases: definition, design, implementation, testing, integration, deployment, maintenance and support. While it provides structure and is good for stable requirements, it is difficult to change requirements or go back to previous phases and does not allow for much iteration. The waterfall model works best for projects with clearly defined requirements and stable scope, but may not be suitable if requirements are likely to change.
Software Engineering (Introduction to Software Engineering)ShudipPal
Software engineering is concerned with all aspects of software production. It aims to develop software using systematic and disciplined approaches to reduce errors and costs. Some key challenges in software development are its high cost, difficulty delivering on time, and producing low quality software. Software engineering methods strive to address these challenges and produce software with attributes like maintainability, dependability, efficiency, usability and acceptability.
The document discusses software reuse and component-based software engineering. It describes how reuse can happen at different levels from full application systems down to individual functions. Reusing code, specifications, and designs can improve reliability, reduce risks and costs, and speed up development time. However, reuse requires an organized component library, confidence in component quality, and documentation to support adaptation. The document also outlines processes for incorporating reuse into development and enhancing the reusability of components.
Introduction to Software Project ManagementReetesh Gupta
This document provides an introduction to software project management. It defines what a project and software project management are, and discusses the key characteristics and phases of projects. Software project management aims to deliver software on time, within budget and meeting requirements. It also discusses challenges that can occur in software projects related to people, processes, products and technology. Effective project management focuses on planning, organizing, monitoring and controlling the project work.
Ian Sommerville, Software Engineering, 9th Edition Ch1Mohammed Romi
The document provides an introduction to software engineering concepts. It discusses what software engineering is, the importance of ethics in software development, and introduces three case studies that will be used as examples throughout the book. Specifically:
[1] It defines software engineering as an engineering discipline concerned with all aspects of software production. Professional and ethical practices are important.
[2] It discusses software engineering ethics and introduces the ACM/IEEE code of ethics for software engineers.
[3] It provides an overview of three case studies that will be referenced in later chapters: an insulin pump system, a patient management system, and a weather station system.
This document discusses agile software development methods. It covers topics like agile principles, extreme programming practices including test-driven development and pair programming. It also discusses scaling agile methods to larger projects using scrum, with sprints and daily stand-up meetings. Some challenges of applying agile to large, long-term projects with distributed teams are also outlined.
This document discusses software maintenance. It defines software maintenance as modifying software after delivery to correct faults, improve performance, or change attributes. The document then discusses reasons for maintenance like changing requirements or fixing errors. It outlines different maintenance types including corrective, adaptive, perfective and preventive maintenance. The document also examines maintenance models such as quick-fix, iterative enhancement, full-reuse, Boehm's model and Taute's model.
Software re-engineering is a process of examining and altering a software system to restructure it and improve maintainability. It involves sub-processes like reverse engineering, redocumentation, and data re-engineering. Software re-engineering is applicable when some subsystems require frequent maintenance and can be a cost-effective way to evolve legacy software systems. The key advantages are reduced risk compared to new development and lower costs than replacing the system entirely.
The document discusses different types of software and challenges in software engineering. It describes 7 categories of software: system software, application software, engineering/scientific software, embedded software, product-line software, web applications, and artificial intelligence software. It also outlines 4 challenges: ubiquitous computing, netsourcing, open source, and the new economy. Additionally, it presents software engineering as a layered technology with 4 layers: quality focus, process, methods, and tools. Finally, it proposes a generic process framework for software development with 5 activities: communication, planning, modeling, construction, and deployment.
This document discusses software quality factors and McCall's quality factor model. It describes McCall's three main quality factor categories: product operation factors, product revision factors, and product transition factors. Under product operation factors, it outlines reliability, correctness, integrity, efficiency, and usability requirements. It then discusses product revision factors of maintainability, flexibility, and testability. Finally, it covers product transition factors including portability, reusability, and interoperability. The document provides details on the specific requirements for each quality factor.
The document discusses key concepts in software design including abstraction, architecture, patterns, modularity, information hiding, and functional independence. It explains that software design is an iterative process that transforms requirements into a blueprint for constructing the software through design models, data structures, system architecture, interfaces, and components. Good software design exhibits qualities like being bug-free, suitable for its intended purpose, and a pleasurable user experience.
The document discusses the key tasks in requirements engineering: inception to initially understand user needs, elicitation to gather requirements, elaboration to further analyze and model requirements, negotiation to reconcile conflicts, specification to formally document requirements, validation to verify requirements quality, and management to track requirements throughout the project. The tasks involve collaborative activities like interviews and workshops to capture ambiguous and changing user needs and transform them into clear, consistent requirements that form the basis for subsequent software design and development.
This lecture provide a review of requirement engineering process. The slides have been prepared after reading Ian Summerville and Roger Pressman work. This lecture is helpful to understand user, and user requirements.
Requirements engineering process in software engineeringPreeti Mishra
Requirement Engineering (RE) involves understanding what customers want through tasks like elicitation, negotiation, and specification. RE helps establish requirements that provide a solid foundation for design and construction. The key RE tasks are inception to understand the problem, elicitation by drawing out requirements, elaboration by creating analysis models, negotiation to agree on a realistic solution, specification to formally describe requirements, validation to check for errors or issues, and management of changing requirements. RE helps software engineers better understand problems to solve through participation with customers, managers, and end users.
Software Re-Engineering in Software Engineering SE28koolkampus
Software re-engineering involves reorganizing and modifying existing software systems to improve maintainability. It includes activities like reverse engineering, program restructuring, modularization, and data re-engineering. Reverse engineering analyzes software to understand its design and specification. Program restructuring improves structure by removing complex logic and simplifying conditions. Modularization groups related program parts together. Data re-engineering analyzes and reorganizes data structures and values to create a more managed data environment. The objective is to make systems easier to understand and maintain through these re-engineering processes.
Following presentation answers:
- Why do we need evolution?
- What happens if we do not evolve the software?
- What are the types of software evolution?
- What are Lehman's laws
- What are the strategies for evolution?
This document discusses software re-engineering, which involves examining and altering an existing software system to reconstruct it in a new form that is more maintainable. The key steps in re-engineering include source code translation, reverse engineering, improving program structure, program modularization, and data re-engineering. The overall goal of re-engineering is to analyze, reorganize, and modify existing software and data structures to make the system easier to understand and maintain.
Software re-engineering involves examining and altering an existing software system to reconstruct it in a new form that is more maintainable. It consists of several steps like source code translation, reverse engineering, program structure improvement, program modularization, and data re-engineering. The goal of re-engineering is to analyze, restructure, and reorganize a system to improve its structure, understandability, and maintainability.
Software re-engineering involves examining and altering an existing software system to reconstruct it in a new form that is more maintainable. It consists of several steps like source code translation, reverse engineering, program structure improvement, program modularization, and data re-engineering. The goal of re-engineering is to analyze, restructure, and reorganize a system to evolve it into a more understandable and maintainable form.
SWE-401 - 11. Software maintenance overviewghayour abbas
The document discusses software maintenance and engineering. It defines software maintenance as modifications and updates made after initial delivery. There are various types of maintenance like corrective, adaptive, perfective, and preventive. Maintenance is important due to factors like changing market conditions, client requirements, host modifications, and organizational changes. Maintenance can be costly, often accounting for over 50% of total software costs. The document also discusses software re-engineering and component reuse.
Re-engineering is the process of reorganizing and modifying existing software systems to improve maintainability. It involves examining and altering a system to reconstitute it in a new form. The objectives are to describe cost-effective system evolution options and the activities of software maintenance. Steps include inventory analysis, reverse engineering existing code, and forward engineering a new system. The costs depend on factors like software quality, tools, data conversion needs, and staff expertise. Benefits are reduced risk and costs compared to new development, while revealing business rules and leveraging existing staff skills. Limitations are practical limits to re-engineering extent and that the re-engineered system may not be as maintainable as a new one.
Software maintenance includes correcting errors, enhancing capabilities, removing outdated features, and optimizing performance. It refers to any work done on software after it begins operating. Maintenance typically spans 20 years and includes corrective, adaptive, perfective, and preventive activities. Challenges to maintenance include programs written in isolation without documentation, changes made by people unfamiliar with the code, and lack of design for change. Effective maintenance requires understanding programs, testing modified code, budgeting resources, and configuration management to control and document changes over time.
WHAT IS RE-ENGINEERING?
EXAMINATION AND ALTERATION OF A SYSTEM TO RECONSTRUCT IT IN A NEW FORM REORGANISING AND MODIFYING EXISTING SOFTWARE SYSTEMS TO MAKE THEM MORE MAINTAINABLE
This document discusses software re-engineering, reverse engineering, and configuration management activities. It defines software re-engineering as examining and altering a system to improve understandability or functionality. Reverse engineering aims to understand how a system works by analyzing its code or components. Configuration management systematically controls changes to a system's configuration throughout its lifecycle.
Software Maintenance with detailed descriptionSaileshSingh27
1. Software maintenance is an ongoing process that consumes 40-70% of development costs and includes fixing errors, improving performance, and adapting to changes.
2. Maintenance is needed to ensure systems continue satisfying user requirements as hardware, software, and needs evolve over time. It accounts for modifying code through corrective, adaptive, perfective, and preventive changes.
3. Reengineering and reverse engineering are processes to understand legacy systems and improve maintainability. They involve analyzing existing code and documentation to recover designs and requirements without changing functionality. This facilitates future maintenance.
Software systems must evolve over time to remain useful as requirements, environments, and technologies change. There are several processes involved in software evolution, including software maintenance to fix bugs, adapt to new environments, or implement new functionality. Legacy system evolution requires assessing the business value and quality of the system to determine the best strategy, such as continuing maintenance, reengineering to improve maintainability, or replacing the system.
This document discusses software maintenance and evolution. It covers topics like:
- Software needs to change over time to meet new requirements and fix errors
- Maintenance includes fault repair, system adaptation, and functionality changes
- There are different strategies for software evolution like maintenance, architectural transformation, and reengineering
- Maintenance is important but inefficient due to issues like lack of documentation and high turnover
- Proper management of maintenance through techniques like change management can help reduce costs
This document discusses software reverse engineering. It defines reverse engineering as extracting knowledge or design information from a man-made system to recreate it at a higher level of abstraction. For software, reverse engineering analyzes a system to understand its design and implementation. It is used to recover lost information, assist with maintenance, enable reuse, and discover flaws. Reverse engineering tools include disassemblers, debuggers, and decompilers. The process involves system and code level analysis to document designs, components, and algorithms from binary code. While it faces limitations like legality issues and missing information, reverse engineering provides important benefits for software development and security analysis.
This document provides lecture notes on software engineering topics including software processes, process models, requirements engineering, system modeling, architectural design, design and implementation, software validation, software evolution, and coping with change. The waterfall model and incremental development are described as examples of software process models. Requirements engineering, software design and implementation, and validation are discussed as key process activities. Approaches to coping with change such as prototyping and incremental delivery are also summarized.
The software process involves specification, design and implementation, validation, and evolution activities. It can be modeled using plan-driven approaches like the waterfall model or agile approaches. The waterfall model involves separate sequential phases while incremental development interleaves activities. Reuse-oriented processes focus on assembling systems from existing components. Real processes combine elements of different models. Specification defines system requirements through requirements engineering. Design translates requirements into a software structure and implementation creates an executable program. Validation verifies the system meets requirements through testing. Evolution maintains and changes the system in response to changing needs.
Software Process in Software Engineering SE3koolkampus
The document introduces software process models and describes three generic models: waterfall, evolutionary development, and component-based development. It also covers the Rational Unified Process model and discusses how computer-aided software engineering (CASE) tools can support software development processes.
What Do Contribution Guidelines Say About Software Testing? (MSR 2025)Andre Hora
Software testing plays a crucial role in the contribution process of open-source projects. For example, contributions introducing new features are expected to include tests, and contributions with tests are more likely to be accepted. Although most real-world projects require contributors to write tests, the specific testing practices communicated to contributors remain unclear. In this paper, we present an empirical study to understand better how software testing is approached in contribution guidelines. We analyze the guidelines of 200 Python and JavaScript open-source software projects. We find that 78% of the projects include some form of test documentation for contributors. Test documentation is located in multiple sources, including CONTRIBUTING files (58%), external documentation (24%), and README files (8%). Furthermore, test documentation commonly explains how to run tests (83.5%), but less often provides guidance on how to write tests (37%). It frequently covers unit tests (71%), but rarely addresses integration (20.5%) and end-to-end tests (15.5%). Other key testing aspects are also less frequently discussed: test coverage (25.5%) and mocking (9.5%). We conclude by discussing implications and future research.
Join Ajay Sarpal and Miray Vu to learn about key Marketo Engage enhancements. Discover improved in-app Salesforce CRM connector statistics for easy monitoring of sync health and throughput. Explore new Salesforce CRM Synch Dashboards providing up-to-date insights into weekly activity usage, thresholds, and limits with drill-down capabilities. Learn about proactive notifications for both Salesforce CRM sync and product usage overages. Get an update on improved Salesforce CRM synch scale and reliability coming in Q2 2025.
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Why Orangescrum Is a Game Changer for Construction Companies in 2025Orangescrum
Orangescrum revolutionizes construction project management in 2025 with real-time collaboration, resource planning, task tracking, and workflow automation, boosting efficiency, transparency, and on-time project delivery.
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Adobe Master Collection CC (Creative Cloud) is a comprehensive subscription-based package that bundles virtually all of Adobe's creative software applications. It provides access to a wide range of tools for graphic design, video editing, web development, photography, and more. Essentially, it's a one-stop-shop for creatives needing a broad set of professional tools.
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Adobe InDesign: For page layout and desktop publishing.
Adobe Premiere Pro: For video editing and post-production.
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Exceptional Behaviors: How Frequently Are They Tested? (AST 2025)Andre Hora
Exceptions allow developers to handle error cases expected to occur infrequently. Ideally, good test suites should test both normal and exceptional behaviors to catch more bugs and avoid regressions. While current research analyzes exceptions that propagate to tests, it does not explore other exceptions that do not reach the tests. In this paper, we provide an empirical study to explore how frequently exceptional behaviors are tested in real-world systems. We consider both exceptions that propagate to tests and the ones that do not reach the tests. For this purpose, we run an instrumented version of test suites, monitor their execution, and collect information about the exceptions raised at runtime. We analyze the test suites of 25 Python systems, covering 5,372 executed methods, 17.9M calls, and 1.4M raised exceptions. We find that 21.4% of the executed methods do raise exceptions at runtime. In methods that raise exceptions, on the median, 1 in 10 calls exercise exceptional behaviors. Close to 80% of the methods that raise exceptions do so infrequently, but about 20% raise exceptions more frequently. Finally, we provide implications for researchers and practitioners. We suggest developing novel tools to support exercising exceptional behaviors and refactoring expensive try/except blocks. We also call attention to the fact that exception-raising behaviors are not necessarily “abnormal” or rare.
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FL Studio is a Digital Audio Workstation (DAW) software used for music production. It's developed by the Belgian company Image-Line. FL Studio allows users to create and edit music using a graphical user interface with a pattern-based music sequencer.
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Adobe After Effects is a software application used for creating motion graphics, special effects, and video compositing. It's widely used in TV and film post-production, as well as for creating visuals for online content, presentations, and more. While it can be used to create basic animations and designs, its primary strength lies in adding visual effects and motion to videos and graphics after they have been edited.
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After Effects is powerful for creating animated titles, transitions, and other visual elements to enhance the look of videos and presentations.
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It's used extensively in film and television for creating special effects like green screen compositing, object manipulation, and other visual enhancements.
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After Effects allows users to combine multiple video clips, images, and graphics to create a final, cohesive visual.
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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
Secure Test Infrastructure: The Backbone of Trustworthy Software DevelopmentShubham Joshi
A secure test infrastructure ensures that the testing process doesn’t become a gateway for vulnerabilities. By protecting test environments, data, and access points, organizations can confidently develop and deploy software without compromising user privacy or system integrity.
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"YouTube by Click" likely refers to the ByClick Downloader software, a video downloading and conversion tool, specifically designed to download content from YouTube and other video platforms. It allows users to download YouTube videos for offline viewing and to convert them to different formats.
Microsoft AI Nonprofit Use Cases and Live Demo_2025.04.30.pdfTechSoup
In this webinar we will dive into the essentials of generative AI, address key AI concerns, and demonstrate how nonprofits can benefit from using Microsoft’s AI assistant, Copilot, to achieve their goals.
This event series to help nonprofits obtain Copilot skills is made possible by generous support from Microsoft.
What You’ll Learn in Part 2:
Explore real-world nonprofit use cases and success stories.
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6. System re-engineering
Re-st ruct ur ing or r e-writ ing par t or
all of a
legacy syst em wit hout changing it s
f unct ionalit y
Applicable wher e some but not all
sub-syst ems
of a lar ger syst em r equire f r equent
maint enance
Re-engineering involves adding ef f ort
t o make
t hem easier t o maint ain. The syst em
7. When to re-engineer
When syst em changes are most ly
rest r ict ed t o
par t of t he syst em t hen r e-engineer
t hat par t
When har dware or sof t war e suppor t
becomes
out -dat ed
8. Re-engineering advantages
Reduced risk
There is a high r isk in new sof t ware
development . Ther e may be
development problems, st af f ing
pr oblems and specif icat ion problems
Reduced cost
The cost of re-engineering is of t en
9. Business process re-
engineering
Concerned wit h r e-designing business
pr ocesses t o make t hem mor e responsive
and mor e ef f icient
Of t en r eliant on t he int roduct ion of new
comput er syst ems t o suppor t t he
revised pr ocesses
May f or ce sof t war e r e-engineering as
12. Re-engineering cost factors
The qualit y of t he sof t war e t o be r e-
engineer ed
The t ool support available f or r e-
engineer ing
The ext ent of t he dat a conver sion
which is r equir ed
14. Source code translation
I nvolves conver t ing t he code f r om one
language (or language version) t o
anot her e.g. FORTRAN t o C
May be necessary because of :
Hardware plat f orm updat e
St af f skill short ages
Organisat ional policy changes
16. Reverse engineering
Analysing sof t war e wit h a view t o
under st anding it s design and
specif icat ion
May be part of a re-engineer ing process
but may also be used t o re-specif y a
syst em f or re-implement at ion
Pr ogr am under st anding t ools (browsers,
18. Reverse engineering
Rever se engineer ing of t en pr ecedes re-
engineer ing but is somet imes wort hwhile
in it s own right
The design and specif icat ion of a syst em
may be reverse engineered so t hat t hey can
be an input t o t he requirement s
specif icat ion process f or t he syst em’s
replacement
19. Key points
The obj ect ive of re-engineering is t o improve t he
syst em st ruct ure t o make it easier t o underst and and
maint ain
The re-engineering process involves source code
t ranslat ion, reverse engineering, program st ruct ure
improvement , program modularisat ion and dat a re-
engineering
Source code t ranslat ion is t he aut omat ic conversion of
of program in one language t o anot her
20. Key points
Reverse engineering is t he process of deriving t he
syst em design and specif icat ion f rom it s source code
Program st ruct ure improvement replaces unst ruct ured
cont rol const ruct s wit h while loops and simple
condit ionals
Program modularisat ion involves reorganisat ion t o group
relat ed it ems
Dat a re-engineering may be necessary because of
inconsist ent dat a management