This document discusses architecting flow in software engineering. It argues that software engineering involves multi-person, multi-version development across different scales, from individual components to integrated systems. It emphasizes that information flow between technical and social tools can improve productivity and quality, especially with higher levels of socio-technical congruence. The document presents examples of information flow within and between systems, and how tool architectures that support information flow along value streams can help track important items like features, defects, risks, and debts across teams and tools.
The Magic Of Application Lifecycle Management In Vs PublicDavid Solivan
The document discusses challenges with software development projects and how tools from Microsoft can help address these challenges. It notes that most projects fail or are over budget and challenges include poor requirements gathering and testing. However, tools like Visual Studio and Team Foundation Server that integrate requirements, work tracking, source control, testing and other functions can help make successful projects more possible by facilitating team collaboration. The document outlines features of these tools and how they aim to make application lifecycle management a routine part of development.
Reliability Improvement with PSP of Web-Based Software ApplicationsCSEIJJournal
In diverse industrial and academic environments, the quality of the software has been evaluated using
different analytic studies. The contribution of the present work is focused on the development of a
methodology in order to improve the evaluation and analysis of the reliability of web-based software
applications. The Personal Software Process (PSP) was introduced in our methodology for improving the
quality of the process and the product. The Evaluation + Improvement (Ei) process is performed in our
methodology to evaluate and improve the quality of the software system. We tested our methodology in a
web-based software system and used statistical modeling theory for the analysis and evaluation of the
reliability. The behavior of the system under ideal conditions was evaluated and compared against the
operation of the system executing under real conditions. The results obtained demonstrated the
effectiveness and applicability of our methodology
MACHINE LEARNING AUTOMATIONS PIPELINE WITH CI/CDIRJET Journal
This document discusses integrating machine learning pipelines with continuous integration and continuous deployment (CI/CD) tools to automate machine learning workflows. It proposes using DevOps tools like Jenkins, Docker, and GitHub to build a CI/CD pipeline for machine learning. The pipeline would include steps for data preprocessing, model training, evaluation, and deployment. Continuous integration would involve regular code updates and testing. Continuous deployment would push trained models to production for monitoring. The goal is to reduce costs and resources needed for machine learning projects through automation with DevOps practices like CI/CD.
Software Engineering Process in Web Application DevelopmentIOSR Journals
This document discusses the software engineering process for developing web applications. It begins by noting that conventional software engineering models cannot be directly applied to web development due to the unique characteristics of web applications. The document then outlines the conventional software development process and various models used. It describes how web engineering adapts these conventional processes, using an incremental development approach better suited to evolving web requirements. The document identifies differences between traditional software and web engineering, and proposes a modified process model for web application development.
This document discusses the differences between conventional software engineering processes and web application development processes. It notes that web applications have large user bases, evolving requirements, and frequent changes, requiring an incremental development approach. The document outlines the typical phases of conventional software development (analysis, design, coding, testing, implementation) and various process models (waterfall, V-model, etc.). It then describes adaptations needed for web engineering, including incorporating analysis of content, interactions, functions and configurations. The design phase in web engineering includes aesthetic and navigation design elements not present in conventional models. Testing for web applications must also consider functionality, usability, interfaces, compatibility and security across various hardware/software environments.
INHERENT QUALITY METRICS FOR CONTINUOUS SOFTWARE QUALITY ENHANCEMENTijseajournal
Traditional software quality metrics based on bug number and pass rate can only provide us afterthought
post validation & product release. In this paper, we propose some new inherent software quality metrics
for proactive quality control during development phase, including Lines of Code (LOC#), Cyclomatic
Complexity and Code Churn. In this paper, citing one ultra-large-scale software - Intel Media Driver as
one example, we introduce the reason to choose those metrics, our experience on leveraging those metrics
to improve the software quality, and our turn-key solution for automatic metrics data collection and
analysis. We expect the identified metrics can help more researchers to form the corresponding research
agendas and the experiences sharing can help following practitioners to apply similar enhancements
This document provides an overview of web engineering and web application analysis modeling. It discusses the attributes and categories of web applications. It then describes the key elements of the web engineering process including planning, modeling, construction, delivery and evaluation. The document focuses on analysis modeling techniques for web applications including content analysis, interaction analysis, functional analysis, configuration analysis, use case diagrams, sequence diagrams, state diagrams, the interaction model, the functional model and the configuration model. Relationship navigation analysis is also covered. The goal of analysis modeling is to establish a basis for the design of complex web applications.
The Magic Of Application Lifecycle Management In Vs PublicDavid Solivan
The document discusses challenges with software development projects and how tools from Microsoft can help address these challenges. It notes that most projects fail or are over budget and challenges include poor requirements gathering and testing. However, tools like Visual Studio and Team Foundation Server that integrate requirements, work tracking, source control, testing and other functions can help make successful projects more possible by facilitating team collaboration. The document outlines features of these tools and how they aim to make application lifecycle management a routine part of development.
Reliability Improvement with PSP of Web-Based Software ApplicationsCSEIJJournal
In diverse industrial and academic environments, the quality of the software has been evaluated using
different analytic studies. The contribution of the present work is focused on the development of a
methodology in order to improve the evaluation and analysis of the reliability of web-based software
applications. The Personal Software Process (PSP) was introduced in our methodology for improving the
quality of the process and the product. The Evaluation + Improvement (Ei) process is performed in our
methodology to evaluate and improve the quality of the software system. We tested our methodology in a
web-based software system and used statistical modeling theory for the analysis and evaluation of the
reliability. The behavior of the system under ideal conditions was evaluated and compared against the
operation of the system executing under real conditions. The results obtained demonstrated the
effectiveness and applicability of our methodology
MACHINE LEARNING AUTOMATIONS PIPELINE WITH CI/CDIRJET Journal
This document discusses integrating machine learning pipelines with continuous integration and continuous deployment (CI/CD) tools to automate machine learning workflows. It proposes using DevOps tools like Jenkins, Docker, and GitHub to build a CI/CD pipeline for machine learning. The pipeline would include steps for data preprocessing, model training, evaluation, and deployment. Continuous integration would involve regular code updates and testing. Continuous deployment would push trained models to production for monitoring. The goal is to reduce costs and resources needed for machine learning projects through automation with DevOps practices like CI/CD.
Software Engineering Process in Web Application DevelopmentIOSR Journals
This document discusses the software engineering process for developing web applications. It begins by noting that conventional software engineering models cannot be directly applied to web development due to the unique characteristics of web applications. The document then outlines the conventional software development process and various models used. It describes how web engineering adapts these conventional processes, using an incremental development approach better suited to evolving web requirements. The document identifies differences between traditional software and web engineering, and proposes a modified process model for web application development.
This document discusses the differences between conventional software engineering processes and web application development processes. It notes that web applications have large user bases, evolving requirements, and frequent changes, requiring an incremental development approach. The document outlines the typical phases of conventional software development (analysis, design, coding, testing, implementation) and various process models (waterfall, V-model, etc.). It then describes adaptations needed for web engineering, including incorporating analysis of content, interactions, functions and configurations. The design phase in web engineering includes aesthetic and navigation design elements not present in conventional models. Testing for web applications must also consider functionality, usability, interfaces, compatibility and security across various hardware/software environments.
INHERENT QUALITY METRICS FOR CONTINUOUS SOFTWARE QUALITY ENHANCEMENTijseajournal
Traditional software quality metrics based on bug number and pass rate can only provide us afterthought
post validation & product release. In this paper, we propose some new inherent software quality metrics
for proactive quality control during development phase, including Lines of Code (LOC#), Cyclomatic
Complexity and Code Churn. In this paper, citing one ultra-large-scale software - Intel Media Driver as
one example, we introduce the reason to choose those metrics, our experience on leveraging those metrics
to improve the software quality, and our turn-key solution for automatic metrics data collection and
analysis. We expect the identified metrics can help more researchers to form the corresponding research
agendas and the experiences sharing can help following practitioners to apply similar enhancements
This document provides an overview of web engineering and web application analysis modeling. It discusses the attributes and categories of web applications. It then describes the key elements of the web engineering process including planning, modeling, construction, delivery and evaluation. The document focuses on analysis modeling techniques for web applications including content analysis, interaction analysis, functional analysis, configuration analysis, use case diagrams, sequence diagrams, state diagrams, the interaction model, the functional model and the configuration model. Relationship navigation analysis is also covered. The goal of analysis modeling is to establish a basis for the design of complex web applications.
Software testing is a key part of software engineering used to evaluate software quality and identify errors. There are various software testing techniques and methods, but thoroughly investigating a complex software is more important than following a specific procedure. Testing complex software cannot discover all errors, but can help improve quality. Software engineering involves defining requirements, design, development, testing, and maintenance of software using methodologies like agile development.
Design and Monitoring Performance of Digital PropertiesIRJET Journal
This document discusses the design and monitoring of digital properties such as web applications and APIs. It proposes using the Django framework to develop a web application and integrate APIs. It describes using cron jobs to perform backend tasks and external libraries for the frontend. An Elastic agent would be installed to monitor application performance on Kibana dashboards. This provides an end-to-end solution for developing, integrating, and monitoring digital properties using open source tools.
International Journal of Engineering and Science Invention (IJESI) is an international journal intended for professionals and researchers in all fields of computer science and electronics. IJESI publishes research articles and reviews within the whole field Engineering Science and Technology, new teaching methods, assessment, validation and the impact of new technologies and it will continue to provide information on the latest trends and developments in this ever-expanding subject. The publications of papers are selected through double peer reviewed to ensure originality, relevance, and readability. The articles published in our journal can be accessed online.
The document summarizes an MSSE capstone project to build a web application for facilitating user participation in the NCAA Brackets Tournament. The project uses ASP.NET for the front end, C# and .NET 2005 for the backend, and SQL Server 2005 for the database. It follows an iterative development approach with versions released in time boxes. Future plans include adding support for other sports, fixing bugs, and implementing additional features like reporting and chat.
The rapid growth in mobile, big data, and cloud technologies has profoundly changed market dynamics in every industry, including financial services, driving the convergence of the digital and physical worlds, and changing customer behavior.
Unified V- Model Approach of Re-Engineering to reinforce Web Application Deve...IOSR Journals
The document discusses approaches for reengineering web applications. It proposes using a unified V-model approach to reinforce web application development through reengineering. Specifically, it discusses:
1) Using reverse engineering to analyze existing web applications and recover designs, followed by forward engineering to restructure the applications based on new requirements.
2) Applying the V-model at each phase of the web development process during reengineering to incorporate methodology.
3) The reengineering process involves reverse engineering, transformations to adapt to new technologies/requirements, and forward engineering to implement the new design.
The document provides an update on various working groups related to cloud computing and data sharing initiatives within the US federal government. It discusses the responsibilities and activities of working groups focused on cloud computing services, standards, governance, and communications. It also summarizes several events and discussions around implementing semantic technologies and linked open data practices on Data.gov and within federal agencies.
Design Document written partially for an assignment as a graduate student at the University of Southern California for the Techniques in Data Visualization course I took with wireframes used in the creation for an actual web application.
Quality Attributes of Web Software Applications ∗hasnainqayyum1
Quality Attributes of Web Software Applications
Quality Attributes of Web Software Applications ∗
Quality Attributes of Web Software Applications ∗
Quality Attributes of Web Software Applications ∗
Quality Attributes of Web Software Applications ∗
Unit testing focuses on testing individual software modules to uncover errors. Integration testing tests interfacing between modules incrementally to isolate errors. Testing objectives are to find errors, use high probability test cases, and ensure specifications are met. Reasons to test are for correctness, efficiency, and complexity. Test oracles verify expected outputs to increase automated testing efficiency and reduce costs, though complete automation has challenges.
Nitesh Kumar Mittal is a software engineer with over 4 years of experience developing applications using technologies like ASP.NET, C#, SQL Server, and AngularJS. He currently works at Accenture as a Software Engineering Analyst. Some of the projects he has worked on include developing a web application for vulnerability management and server compliance tracking, and creating a wallet system for fund transfers. He holds an MCA from Rajasthan Technical University and received an achievement for exceeding targets at his previous job at HCL.
OSSF 2018 - Brandon Jung of GitLab - Is Your DevOps 'Tool Tax' Weighing You D...FINOS
The document discusses how a single application that handles the entire software development lifecycle can help alleviate the "DevOps tool tax" caused by managing and integrating multiple point solutions. It provides an overview of GitLab's Auto DevOps feature which automates the build, test, security, deployment, and monitoring pipelines in a single system. By consolidating tools and processes, Auto DevOps helps reduce integration complexity and accelerate development cycles.
This document contains the resume summary of Naresh Chirra. It summarizes his 3 years of experience developing web applications using Java/J2EE technologies. It also lists his academic qualifications including a B.Tech in computer science, and provides details of 7 projects he worked on, including the technologies used and his roles and responsibilities. The projects involved developing applications for various clients in areas like automation testing, HR management, logistics, and social networking.
Simon Brown: Software Architecture as Code at I T.A.K.E. Unconference 2015Mozaic Works
This document discusses software architecture and how it relates to code. It suggests that software architecture should be more accessible to developers and embodied in the code through architecturally evident coding styles. Components can be extracted from code if naming conventions, packaging, and other patterns are used. Both diagrams and code should reflect the architectural abstractions. Software architecture models can be maintained as code to keep them in sync with implementation changes.
This document provides an introduction to software engineering. It defines software engineering as the systematic application of engineering principles to software development, maintenance, and operation. The document discusses key questions about software engineering, including what it is, how it differs from computer science and systems engineering, the "software crisis" involving cost overruns and defects, and attributes of good software like maintainability and dependability. It also covers software engineering processes, methods, costs, and challenges.
The document discusses software management and the evolution of approaches to software development. It covers the following key points:
- Traditional "waterfall" models of software development had drawbacks like late risk resolution and focus on documentation over collaboration.
- Newer agile approaches emphasize iterative development, early delivery of working software, and continuous improvement based on feedback.
- Improving software economics involves optimizing factors like size, process, personnel skills, tools/environments, and quality requirements. Techniques like reuse, object orientation, and automated testing can help compress schedules and reduce costs.
- Effective project management requires skills like hiring, communication, decision making, team building, and adapting to changes over time. Developing high
This document discusses application assembly using web services. It proposes that web services allow non-technical people to construct complex business software by assembling reusable software components/services. However, there are still challenges to address like how to take abstract concepts into software and ensure quality attributes like performance and security. The document presents a "separation continuum" model to understand the different elements that make up business systems from abstract requirements to software implementation. It argues that application assembly using independently developed web services is feasible if standards are followed and the right assembly tools are available.
The (Un) Expected Impact of Tools in Software EvolutionGail Murphy
The document discusses how software architecture and tool architecture impact a continual flow of value in software development. It argues that software architecture needs to evolve gracefully over time to enable value delivery, and that tools should support human and tool interactions to facilitate appropriate architectural decisions. However, tool architecture is often ignored despite likely interactions with software architecture. More research is needed to understand these relationships and how tool architecture can support software architecture evolution.
Software that requires maintenance and evolution presumably has value that causes the producers of the software—individuals and organizations—to invest in these activities. Given that there is almost always more that any given software package or product can provide, software producers should be motivated in enabling maintenance and evolution activities and should be interested in the software engineering research efforts that are undertaken to address identified pain points. Yet, despite efforts by providers of research results (software engineering researchers) and interest by recipients (software producing individuals and organizations), a gap remains and too few research results make their way into use. In this keynote talk from ICSME 2021, I focus on research results that take the form of software tools for software producers and explore what this gap is and how the gap might be bridged. This exploration aims to provide some practical tips for how to orient research to create usable and useful software tools.
Software testing is a key part of software engineering used to evaluate software quality and identify errors. There are various software testing techniques and methods, but thoroughly investigating a complex software is more important than following a specific procedure. Testing complex software cannot discover all errors, but can help improve quality. Software engineering involves defining requirements, design, development, testing, and maintenance of software using methodologies like agile development.
Design and Monitoring Performance of Digital PropertiesIRJET Journal
This document discusses the design and monitoring of digital properties such as web applications and APIs. It proposes using the Django framework to develop a web application and integrate APIs. It describes using cron jobs to perform backend tasks and external libraries for the frontend. An Elastic agent would be installed to monitor application performance on Kibana dashboards. This provides an end-to-end solution for developing, integrating, and monitoring digital properties using open source tools.
International Journal of Engineering and Science Invention (IJESI) is an international journal intended for professionals and researchers in all fields of computer science and electronics. IJESI publishes research articles and reviews within the whole field Engineering Science and Technology, new teaching methods, assessment, validation and the impact of new technologies and it will continue to provide information on the latest trends and developments in this ever-expanding subject. The publications of papers are selected through double peer reviewed to ensure originality, relevance, and readability. The articles published in our journal can be accessed online.
The document summarizes an MSSE capstone project to build a web application for facilitating user participation in the NCAA Brackets Tournament. The project uses ASP.NET for the front end, C# and .NET 2005 for the backend, and SQL Server 2005 for the database. It follows an iterative development approach with versions released in time boxes. Future plans include adding support for other sports, fixing bugs, and implementing additional features like reporting and chat.
The rapid growth in mobile, big data, and cloud technologies has profoundly changed market dynamics in every industry, including financial services, driving the convergence of the digital and physical worlds, and changing customer behavior.
Unified V- Model Approach of Re-Engineering to reinforce Web Application Deve...IOSR Journals
The document discusses approaches for reengineering web applications. It proposes using a unified V-model approach to reinforce web application development through reengineering. Specifically, it discusses:
1) Using reverse engineering to analyze existing web applications and recover designs, followed by forward engineering to restructure the applications based on new requirements.
2) Applying the V-model at each phase of the web development process during reengineering to incorporate methodology.
3) The reengineering process involves reverse engineering, transformations to adapt to new technologies/requirements, and forward engineering to implement the new design.
The document provides an update on various working groups related to cloud computing and data sharing initiatives within the US federal government. It discusses the responsibilities and activities of working groups focused on cloud computing services, standards, governance, and communications. It also summarizes several events and discussions around implementing semantic technologies and linked open data practices on Data.gov and within federal agencies.
Design Document written partially for an assignment as a graduate student at the University of Southern California for the Techniques in Data Visualization course I took with wireframes used in the creation for an actual web application.
Quality Attributes of Web Software Applications ∗hasnainqayyum1
Quality Attributes of Web Software Applications
Quality Attributes of Web Software Applications ∗
Quality Attributes of Web Software Applications ∗
Quality Attributes of Web Software Applications ∗
Quality Attributes of Web Software Applications ∗
Unit testing focuses on testing individual software modules to uncover errors. Integration testing tests interfacing between modules incrementally to isolate errors. Testing objectives are to find errors, use high probability test cases, and ensure specifications are met. Reasons to test are for correctness, efficiency, and complexity. Test oracles verify expected outputs to increase automated testing efficiency and reduce costs, though complete automation has challenges.
Nitesh Kumar Mittal is a software engineer with over 4 years of experience developing applications using technologies like ASP.NET, C#, SQL Server, and AngularJS. He currently works at Accenture as a Software Engineering Analyst. Some of the projects he has worked on include developing a web application for vulnerability management and server compliance tracking, and creating a wallet system for fund transfers. He holds an MCA from Rajasthan Technical University and received an achievement for exceeding targets at his previous job at HCL.
OSSF 2018 - Brandon Jung of GitLab - Is Your DevOps 'Tool Tax' Weighing You D...FINOS
The document discusses how a single application that handles the entire software development lifecycle can help alleviate the "DevOps tool tax" caused by managing and integrating multiple point solutions. It provides an overview of GitLab's Auto DevOps feature which automates the build, test, security, deployment, and monitoring pipelines in a single system. By consolidating tools and processes, Auto DevOps helps reduce integration complexity and accelerate development cycles.
This document contains the resume summary of Naresh Chirra. It summarizes his 3 years of experience developing web applications using Java/J2EE technologies. It also lists his academic qualifications including a B.Tech in computer science, and provides details of 7 projects he worked on, including the technologies used and his roles and responsibilities. The projects involved developing applications for various clients in areas like automation testing, HR management, logistics, and social networking.
Simon Brown: Software Architecture as Code at I T.A.K.E. Unconference 2015Mozaic Works
This document discusses software architecture and how it relates to code. It suggests that software architecture should be more accessible to developers and embodied in the code through architecturally evident coding styles. Components can be extracted from code if naming conventions, packaging, and other patterns are used. Both diagrams and code should reflect the architectural abstractions. Software architecture models can be maintained as code to keep them in sync with implementation changes.
This document provides an introduction to software engineering. It defines software engineering as the systematic application of engineering principles to software development, maintenance, and operation. The document discusses key questions about software engineering, including what it is, how it differs from computer science and systems engineering, the "software crisis" involving cost overruns and defects, and attributes of good software like maintainability and dependability. It also covers software engineering processes, methods, costs, and challenges.
The document discusses software management and the evolution of approaches to software development. It covers the following key points:
- Traditional "waterfall" models of software development had drawbacks like late risk resolution and focus on documentation over collaboration.
- Newer agile approaches emphasize iterative development, early delivery of working software, and continuous improvement based on feedback.
- Improving software economics involves optimizing factors like size, process, personnel skills, tools/environments, and quality requirements. Techniques like reuse, object orientation, and automated testing can help compress schedules and reduce costs.
- Effective project management requires skills like hiring, communication, decision making, team building, and adapting to changes over time. Developing high
This document discusses application assembly using web services. It proposes that web services allow non-technical people to construct complex business software by assembling reusable software components/services. However, there are still challenges to address like how to take abstract concepts into software and ensure quality attributes like performance and security. The document presents a "separation continuum" model to understand the different elements that make up business systems from abstract requirements to software implementation. It argues that application assembly using independently developed web services is feasible if standards are followed and the right assembly tools are available.
The (Un) Expected Impact of Tools in Software EvolutionGail Murphy
The document discusses how software architecture and tool architecture impact a continual flow of value in software development. It argues that software architecture needs to evolve gracefully over time to enable value delivery, and that tools should support human and tool interactions to facilitate appropriate architectural decisions. However, tool architecture is often ignored despite likely interactions with software architecture. More research is needed to understand these relationships and how tool architecture can support software architecture evolution.
Software that requires maintenance and evolution presumably has value that causes the producers of the software—individuals and organizations—to invest in these activities. Given that there is almost always more that any given software package or product can provide, software producers should be motivated in enabling maintenance and evolution activities and should be interested in the software engineering research efforts that are undertaken to address identified pain points. Yet, despite efforts by providers of research results (software engineering researchers) and interest by recipients (software producing individuals and organizations), a gap remains and too few research results make their way into use. In this keynote talk from ICSME 2021, I focus on research results that take the form of software tools for software producers and explore what this gap is and how the gap might be bridged. This exploration aims to provide some practical tips for how to orient research to create usable and useful software tools.
Is software engineering research addressing software engineering problems?Gail Murphy
Keynote from Automated Software Engineering 2020. (See https://www.cs.ubc.ca/~murphy for video)
Brian Randell described software engineering as “the multi-person development of multi-version programs”. David Parnas has expressed that this “pithy phrase implies everything that differentiates software engineering from other programming”. How does current software engineering research compare against this definition? Is there currently too much focus on research into problems and techniques more associated with programming than software engineering? Are there opportunities to use Randell’s description of software engineering to guide the community to new research directions? In this talk, I will explore these questions and discuss how a consideration of the development streams used by multiple individuals to produce multiple versions of software opens up new avenues for impactful software engineering research.
In this talk, I explore what productivity means to software developers, how we might track the value that is delivered in software produced by developers and how we might begin to think about measuring the productive delivery of effective software.
Keynote at International Conference on Performance Engineering (ICPE) 2020.
Making Effective, Useful Software Development ToolsGail Murphy
The document discusses making effective software development tools for humans. It presents examples of tools that either successfully or unsuccessfully bridge the mismatch between how developers work and how tools are designed. The Whyline debugging tool reduces debugging time by directly supporting developers' inquisitive nature. Mylyn improves productivity by leveraging how developers work in tasks and use episodic memory. In contrast, defect prediction tools showed no behavioral change when flags were added to code reviews, failing to bridge theory and practice. Overall, the document argues tools should be designed around how humans work, not just computers.
The Need for Context in Software EngineeringGail Murphy
2018 IEEE Harlan Mills Award Keynote at the Automated Software Engineering Conference that discusses reducing the accidental complexity in software development so that the tools software professionals use amplify human intelligence.
Beyond DevOps: Finding Value through RequirementsGail Murphy
DevOps practices have enabled faster delivery of software features. However, there remains a gap in consistently tracking how features connect to customer and organizational value. Requirements engineering needs to play a key role in identifying and linking features to value, as well as tracking value delivery and reassessing features over time. This will allow organizations to focus on delivering value rather than just features through their software development processes.
Impactful SE Research: Some Do's and More Don'tsGail Murphy
The document discusses ways for software engineering research to have impact. It recommends focusing on real-world problems, being open to opportunities, collaborating, adapting, and being generous with one's work. The document cautions against only focusing on "home runs", putting research above people, thinking innovation only happens in academia, ignoring issues of scale, relying only on open source, and neglecting the importance of messaging. It then describes Gail Murphy's career which exemplifies these principles through her academic works on Reflexion Models and Hipikat and her role in founding Tasktop to commercialize the Mylar technology, demonstrating impacts across multiple domains.
The Elusive Nature of Context: Why We Need It and Were We Might Find ItGail Murphy
Keynote at CASCON 2016. Describes the need for software to support the work patterns of humans so that the software works for humans instead of humans working for the software.
Human-centric Software Development ToolsGail Murphy
What characteristics research into software development tools? This talk explores how research can help understand why some tools are effective and some are not and can help drive to the development of more effective tools for software developers.
Implications of Open Source Software Use (or Let's Talk Open Source)Gail Murphy
A talk given to the UBC Computer Science Alumni group discussing a number of implications of the use of open source as part of the global software supply chain.
Is Continuous Adoption in Software Engineering Achievable and Desirable? Gail Murphy
ICSE 2016 Software Engineering in Practice keynote.
Continuity in software development is all about shortening cycle times. For example, continuous integration shortens the time to integrating changes from multiple developers and continuous delivery shortens the time to get those integrated changes into the hands of users. Although it is now possible to get multiple new versions of complex software systems released per day, it still often takes years, if ever, to get software engineering research results into use by software development teams. What would software engineering research and software engineering development look like if we could shorten the cycle time from taking a research result into practice? What can we learn from how continuity in development is performed to make it possible to achieve continuous adoption of research results? Do we even want to achieve continuous adoption? In this talk, I will explore these questions, drawing from experiences I have gained in helping to take a research idea to market and from insights learned from interviewing industry leaders.
This document discusses research into measuring and improving software development productivity on a minute-by-minute basis. It explores developers' perspectives on productivity, observes their activities and work flows, and suggests ways forward at the individual, team, and organizational levels. Key findings include that development work is highly fragmented, habitual productivity patterns exist, and mitigating context switches can improve focus. The research aims to develop more flexible and adaptable measurement and retrospective tools to help developers and organizations enhance productivity.
Forward relationships (35% of pairs) involve users seeking help or requesting features from library maintainers, while backward relationships (30% of pairs) indicate existing communities between projects. The remaining 35% have both forward and backward interactions as users contribute to libraries and libraries later update code in user projects. Generally, the more popular the library, the less likely developers are to get involved socially. While social interactions precede technical dependencies 39% of the time, most interactions in those cases are short-lived, and interactions typically take a long time when technical dependencies come first.
Getting to Flow in Software Development (ASWEC 2014 Keynote)Gail Murphy
Humans are amazing at processing information. It is a good thing that they are because software development projects generate a tremendous amount of information of various forms from predominantly natural language documents like requirements to blended natural language and structured artifacts like issues to predominantly structured source and test code. For some time, the amount of information produced daily in a large software development has exceeded a human’s ability to process that information. Instead of producing tools that allow a software developer to focus on information pertinent to a task, too many tools have been built that focus solely on producing as much information as possible. In this talk, I will discuss interaction styles for tools that may bring us closer to keeping a developer in the flow of a task. By improving flow, we can enable developers to work smarter, work better and have more fun.
The document discusses the importance of considering the human element in software engineering tool interfaces. Many current interfaces are designed without fully recognizing that a human will be using the tool. The document advocates for interfaces that keep the human "in the flow" of solving problems by utilizing interaction styles like problem-based dialogue, context awareness, and recommendations to reduce cognitive overload and click-heavy interactions. The goal is for interfaces to better support the human cognitive activities involved in software engineering tasks.
What is Software Development Productivity Anyway?Gail Murphy
This document discusses software development productivity and explores ways to measure and improve it. It begins by noting that software is becoming increasingly important and examines past views of productivity focused on outputs like lines of code. More modern perspectives emphasize quality and validated learning. The document suggests individual software developers could track metrics like the percentage of their work released to users and number of commits over time to reflect on productivity. Integrating and analyzing application lifecycle data may help individuals understand what makes them most productive by learning from successes and failures. The overall message is that empowering individuals with data about their work can help continuously improve software development productivity.
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdfMalak Abu Hammad
Discover how MongoDB Atlas and vector search technology can revolutionize your application's search capabilities. This comprehensive presentation covers:
* What is Vector Search?
* Importance and benefits of vector search
* Practical use cases across various industries
* Step-by-step implementation guide
* Live demos with code snippets
* Enhancing LLM capabilities with vector search
* Best practices and optimization strategies
Perfect for developers, AI enthusiasts, and tech leaders. Learn how to leverage MongoDB Atlas to deliver highly relevant, context-aware search results, transforming your data retrieval process. Stay ahead in tech innovation and maximize the potential of your applications.
#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slackshyamraj55
Discover the seamless integration of RPA (Robotic Process Automation), COMPOSER, and APM with AWS IDP enhanced with Slack notifications. Explore how these technologies converge to streamline workflows, optimize performance, and ensure secure access, all while leveraging the power of AWS IDP and real-time communication via Slack notifications.
Your One-Stop Shop for Python Success: Top 10 US Python Development Providersakankshawande
Simplify your search for a reliable Python development partner! This list presents the top 10 trusted US providers offering comprehensive Python development services, ensuring your project's success from conception to completion.
Fueling AI with Great Data with Airbyte WebinarZilliz
This talk will focus on how to collect data from a variety of sources, leveraging this data for RAG and other GenAI use cases, and finally charting your course to productionalization.
OpenID AuthZEN Interop Read Out - AuthorizationDavid Brossard
During Identiverse 2024 and EIC 2024, members of the OpenID AuthZEN WG got together and demoed their authorization endpoints conforming to the AuthZEN API
Have you ever been confused by the myriad of choices offered by AWS for hosting a website or an API?
Lambda, Elastic Beanstalk, Lightsail, Amplify, S3 (and more!) can each host websites + APIs. But which one should we choose?
Which one is cheapest? Which one is fastest? Which one will scale to meet our needs?
Join me in this session as we dive into each AWS hosting service to determine which one is best for your scenario and explain why!
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Architecting-Flow-in-SE.pdf
1. Architecting Flow
in Software Engineering
G a i l C . M u r p h y
U n i v e r s i t y o f B r i t i s h C o l u m b i a
except for images where noted
@gail_murphy
8. Architecting Flow in Software Engineering
Software engineering is a socio-technical endeavour
T
V
Y
I
1
S
S&T
T
S&T
T
Increasing focus on tool architectures and value streams
can increase quality and productivity
S = Social Tool
T = Technical Tool
11. Completely network collaborative
services via centric initiatives.
Completely network collaborative
services via centric initiatives.
Completely network collaborative
services via centric initiatives.
Socio-technical
congruence A
B
C
Technical dependencies between modules
Coordination needs between teams
Team
for A
Team
for C
Team
for B
Congruence leads to
improved productivity
Higher levels of congruence
associated with lower levels
of fault proneness
[Cataldo & Herbsleb, 2013]
12. Example 1: Within System
Cataldo & Herbsleb studied two developments in depth
- Project A - Distributed system for a data storage product
(114 developers, 5m lines of code, C & C++)
- Project B - Embedded system for automotive sector
(380 developers, 8 sites, 7m lines of code, C)
Less mature system
More mature system
finding that:
Higher-levels of socio-technical congruence are associated with better software quality. True for
both projects, but with more benefit for Project B (more mature).
Higher-levels of socio-technical congruence associated with improvements in productivity. True for
both projects, but with more benefit for Project A (less mature).
[Cataldo & Herbsleb, 2013]
13. Example 2: Integrated Systems
Integrator
(Boeing)
Supplier
(Crane/
GE)
https://www.reuters.com/article/us-airshow-boeing-787-idUSL1559730020080715
14. Example 3: Between Systems
What happens in ecosystems that are weakly inter-connected, like Java?
Guava
mcMMO
Vault
Netty
Assertj
Junit
Appsgate
JSONassert
0%
25%
50%
75%
100%
4 32 256 2048
Number of user repositories
R
s
:
Ratio
of
user
repositories
having
a
social
link
Red Dots are Java projects
on GitHub.
The farther right, the more
other technically dependent
Java systems.
[Palyart, Murphy & Masrani, 2017]
15. Example 3: Between Systems
What happens in ecosystems that are weakly inter-connected, like Java?
Guava
mcMMO
Vault
Netty
Assertj
Junit
Appsgate
JSONassert
0%
25%
50%
75%
100%
4 32 256 2048
Number of user repositories
R
s
:
Ratio
of
user
repositories
having
a
social
link
This is a testing library
(JUnit) with lots of
systems using it.
[Palyart, Murphy & Masrani, 2017]
16. Example 3: Between Systems
What happens in ecosystems that are weakly inter-connected, like Java?
Guava
mcMMO
Vault
Netty
Assertj
Junit
Appsgate
JSONassert
0%
25%
50%
75%
100%
4 32 256 2048
Number of user repositories
R
s
:
Ratio
of
user
repositories
having
a
social
link
The vertical axis provides an
indication of how many of
the using systems have a
social dependence.
Reasonable number of using
systems and high-level of social
dependencies from those
systems.
Lots of users, less social
dependencies from those
systems.
[Palyart, Murphy & Masrani, 2017]
17. Scale Why (examples) What How
Within system
Increased productivity
and quality
Integrated system Avoid integration
failures
Between systems Improve planning
Architecting Flow
18. Scale Why (examples) What How
Within system
Increased productivity
and quality
Integrated system Avoid integration
failures
Between systems Improve planning
Architecting Flow
Focus will be on “within system” and “between systems” for
remainder of talk
20. A
B
C
Technical dependencies between modules
Coordination needs between teams
Team
for A
Team
for C
Team
for B
Information flow
Information flow related to
technical dependence
Is related to software
architecture
Software architecture
specification, evolution,
recovery, practices, etc.
are well-established
21. A
B
C
Technical dependencies between modules
Coordination needs between teams
Team
for A
Team
for C
Team
for B
Information flow
Information flow to support
coordination needs is
less established
Focus in this talk will
be on information flow
related to coordination
23. A “Within System”
Conceptual Example
An automotive company building a
hybrid or electric vehicle with
regenerative braking
Image not copyable
24. Requirement: Provide regenerative braking
Task: Design algorithm for regenerative braking
Task: Gain input from brake sensors
Task: Reverse engine
Task: Route electricity from motor to batteries
Task: Simulate algorithm for regenerative braking
Task: Implement algorithm for regenerative braking
Task: Test algorithm for regenerative braking
Task: Performance test algorithm for regenerative braking
Etc. etc. etc.
Information flow items
related to a Feature
Image not copyable
25. Requirement: Provide regenerative braking
Task: Design algorithm for regenerative braking
Task: Simulate algorithm for regenerative braking
Task: Implement algorithm for regenerative braking
Task: Test algorithm for regenerative braking
Task: Performance test algorithm for regenerative braking
Etc. etc. etc.
Information flow items
related to a Feature
Requirements Team
Design Team
Dev Team #1
Dev Team #2
Test Team
Image not copyable
26. Etc. etc. etc.
Information flow items
related to a Feature
Requirements Team Design Team Dev Team #1 Dev Team #2 Test Team
Image not copyable
27. Etc. etc. etc.
Information flow items
related to a Defect
Requirements Team Design Team Dev Team #1 Dev Team #2 Test Team
Defect Team
Defect: Problems with anti-lock braking
Etc. etc. etc.
Image not copyable
28. Etc. etc. etc.
Information flow items
related to a Feature
and Defect
Requirements Team Design Team Dev Team #1 Dev Team #2 Test Team
Defect Team
Defect: Problems with anti-lock braking
Etc. etc. etc.
Technical: Algorithm Spec
Social: Discussion about Spec
Technical: Environment
conditions for defect
Social: Discussion to gather
more environmental info
Image not copyable
31. Information flow items
Feature:
Provide braking
component
Integrator
Supplier
Requirements Team
Development Team
Quality Assurance Team
Technical: component
Social: interface discussion
More limited content on flow
Items between integrator and supplier
Image not copyable
32. Scale Why (examples) What How
Within system
Increased productivity
and quality
Features, Defects, Risks
and Debts
Integrated system Avoid integration
failures
Likely contractually
limited to features and
defects
Architecting Flow
34. Modularization of
software to reduce
team
interdependencies
degrades over time
Teams interchange
a variety of
technical and social
information during
development
Information flow is
constant, complex
and changing
Organization and
software structure
will not suffice
35. Requirements Team Design Team Dev Team #1 Dev Team #2 Test Team
Tools can help track information
T
Requirements
V
Features
I
Tasks
Defects
I
Tasks
Defects
Y
Test
37. Requirements Team Design Team Dev Team #1 Dev Team #2 Test Team
Tool architectures with an
integration substrate can help
information flow
T
Requirements
V
Features
I
Tasks
I
Tasks
Defects Defects
Y
Test
38. An example tool architecture
With thanks to Tasktop Technologies Inc. for the diagram.
Diagram may not be copied.
40. Tool architectures vary
With thanks to Tasktop Technologies Inc. for the diagram.
Diagram may not be copied.
An integration substrate (product) can enable flow
across the connectors between tools
41. What about integrated system development?
Integrator Supplier
A deep relationship between integrator
and supplier may see information flow
between tools
A less trusted relationship may
see the Integrator limited to sending
defects to the supplier
42. Scale Why (examples) What How
Within system
Increased productivity
and quality
Features, Defects, Risks
and Debts
Tool architecture
Integrated system Avoid integration
failures
Likely contractually
limited to features and
defects
Tool architecture
Architecting Flow
44. Tool architectures
supported by an
integration
substrate enable
information flow
But WHAT
information flows
should be
supported?
Information flow is
technical and
social information
and is about
features, defects,
risks and debts
Socio-technical
congruence can
increase quality
and improve
productivity
Where are we?
Images not copyable
45. Completely network collaborative
services via centric initiatives.
Information flow related to
value streams needs to be
supported
A value stream takes a product or service
from beginning through to a customer (who may
be internal or external)
48. Scale
Within system
Integrated system
Supporting software engineering at different scales
Tracking
Information Flow
for Value Steams
Commercial products
Commercial products
(depending on trust
relationship)
49. Scale Why (examples) What How
Within system
Increased productivity
and quality
Features, Defects, Risks
and Debts
Value streams and tool
architecture
Integrated system Avoid integration
failures
Likely contractually
limited to features and
defects
Value streams and tool
architecture
Architecting Flow
50. Many open questions
Conway’s law (adage)
1967
Modular software
architecture to enable
parallel work and
enable change
(1970s)
but…
In practice, changes crosscut software architecture, attention is being placed on (often
crosscutting) value streams and developers view their teams as fluid
so…
How should software be organized? How should teams be organized?
What metrics should be tracked?
55. [Cataldo & Herbsleb, 2013] Cataldo, M. and Herbsleb, J. Coordination breakdowns and their
impact on development productivity and software failures. IEEE TSE, vol 39, no 3, 2013.
[Kersten, 2018] Kersten, M. Project to product: How to survive and thrive in the age of digital
disruption with the flow framework. IT Revolution Press, 2018.
[Palyart, Murphy & Masrani, 2017] Palyart, M., Murphy, G.C. and Masrani, V. A study of social interactions
in open source component use. IEEE TSE, vol 44, no 12, 2017.
[Parnas 2011] Parnas, D. Software engineering: Multi-person development of multi-version programs.
In Dependable and Historic Computing - Essays dedicated to Brian Randell on the Occasion of His 75th
Birthday. LNCS Vol. 6875, 2011.