The State of Software Engineering Research
•
2 likes•333 views
Lionel Briand believes that software engineering research places too little attention on engineering and design aspects, focusing instead on novel but impractical solutions. He suggests increasing collaboration with industry to better define problems and priorities based on realistic contexts and domains. This would lead to research that is more applicable and impactful for the future by considering practicality and scalability.
Report
Share
Report
Share
Download to read offline
Recommended
Research Strategy? Try Black Magic
New Faculty Symposium talk at ICSE 2017, BA, Argentina, about research and career strategy for junior researchers ...
Why and How to Get a PhD? (In software engineering)
Lionel Briand discusses the benefits and challenges of pursuing a PhD. Some key benefits include gaining deep technical expertise, learning complex problem solving skills, and personal growth. While only a small percentage will become professors, PhDs open doors to careers in academia, industry research, and more. Choosing an impactful topic you're passionate about, clear advising, publishing, and persevering through challenges are important for success. A PhD takes significant time but can be rewarding for one's career and development.
Not Losing Sight of the Essential: Enjoying your Career in Research
The document provides advice for enjoying a career in research. It emphasizes focusing on the essential reasons for pursuing research such as intellectual exploration and having impact. It warns against getting distracted by academic politics and stresses building a reputation through good work over trying to please everyone. The document advocates finding renewed energy through enjoyable collaborations and gaining domain knowledge to have real-world impact. Overall, it encourages researchers to stay true to themselves and not lose sight of why they entered research in the first place.
Why and How to get a PhD (in Software Engineering)
This document provides advice on pursuing a PhD in software engineering. It discusses potential benefits such as gaining deep technical expertise and learning how to communicate complex ideas. While only a small percentage of PhD graduates will get faculty positions, there are many career paths outside of academia such as corporate R&D. The document also emphasizes choosing a research topic you are passionate about and obtaining feedback from your advisor. Completing a PhD is a personal challenge that will help you grow as an individual through qualities like intellectual rigor and resilience.
Kicking Ass with your Research
The document provides advice for researchers on how to succeed in their careers and have impact. It recommends being passionate about your work, focusing on important problems rather than opportunism, collaborating with others you enjoy working with, and engaging with application domains to ensure relevance. Politics and meaningless activities should be avoided in favor of high-quality work. Impact comes from others building upon your research and applying results in industry, which may take time.
Big Data LDN 2017: Preserving The Key Principles Of Academic Research In A Bu...
Date: 15th November 2017
Location: Keynote Theatre
Time: 15:50 - 16:20
Speaker: Totte Harinen
Organisation: Uber
Think Fast! Rapid eLearning Design through Content Mapping
The document discusses rapid eLearning design through content mapping. It introduces the ADDIE model of instructional design and Kirkpatrick's model of evaluation. It then demonstrates applying these models to a mock course on conducting TV interviews. Key steps include analyzing the content, creating objectives, and planning interactivity and assessment. The goal is to provide a proven methodology for efficiently designing instructional content.
The Design Science Manifesto
Design (especially in highly technical sectors) is at a crossroads, with traditional boundaries breaking and new fields opening, our profession needs to address:
The democratisation of design
The growth of design automation
The merging of related disciplines
In essence:
WE NEED BETTER DESIGN
Design Automation
https://medium.com/@worldofknight/the-design-science-manifesto-2-design-automation-522493d5f151#.fc9asvdoh
Design Democratisation
https://medium.com/@worldofknight/ux-is-dead-long-live-design-ergonomics-c6bdd1fe6abe#.kbsmj8zfk
Recommended
Research Strategy? Try Black Magic
New Faculty Symposium talk at ICSE 2017, BA, Argentina, about research and career strategy for junior researchers ...
Why and How to Get a PhD? (In software engineering)
Lionel Briand discusses the benefits and challenges of pursuing a PhD. Some key benefits include gaining deep technical expertise, learning complex problem solving skills, and personal growth. While only a small percentage will become professors, PhDs open doors to careers in academia, industry research, and more. Choosing an impactful topic you're passionate about, clear advising, publishing, and persevering through challenges are important for success. A PhD takes significant time but can be rewarding for one's career and development.
Not Losing Sight of the Essential: Enjoying your Career in Research
The document provides advice for enjoying a career in research. It emphasizes focusing on the essential reasons for pursuing research such as intellectual exploration and having impact. It warns against getting distracted by academic politics and stresses building a reputation through good work over trying to please everyone. The document advocates finding renewed energy through enjoyable collaborations and gaining domain knowledge to have real-world impact. Overall, it encourages researchers to stay true to themselves and not lose sight of why they entered research in the first place.
Why and How to get a PhD (in Software Engineering)
This document provides advice on pursuing a PhD in software engineering. It discusses potential benefits such as gaining deep technical expertise and learning how to communicate complex ideas. While only a small percentage of PhD graduates will get faculty positions, there are many career paths outside of academia such as corporate R&D. The document also emphasizes choosing a research topic you are passionate about and obtaining feedback from your advisor. Completing a PhD is a personal challenge that will help you grow as an individual through qualities like intellectual rigor and resilience.
Kicking Ass with your Research
The document provides advice for researchers on how to succeed in their careers and have impact. It recommends being passionate about your work, focusing on important problems rather than opportunism, collaborating with others you enjoy working with, and engaging with application domains to ensure relevance. Politics and meaningless activities should be avoided in favor of high-quality work. Impact comes from others building upon your research and applying results in industry, which may take time.
Big Data LDN 2017: Preserving The Key Principles Of Academic Research In A Bu...
Date: 15th November 2017
Location: Keynote Theatre
Time: 15:50 - 16:20
Speaker: Totte Harinen
Organisation: Uber
Think Fast! Rapid eLearning Design through Content Mapping
The document discusses rapid eLearning design through content mapping. It introduces the ADDIE model of instructional design and Kirkpatrick's model of evaluation. It then demonstrates applying these models to a mock course on conducting TV interviews. Key steps include analyzing the content, creating objectives, and planning interactivity and assessment. The goal is to provide a proven methodology for efficiently designing instructional content.
The Design Science Manifesto
Design (especially in highly technical sectors) is at a crossroads, with traditional boundaries breaking and new fields opening, our profession needs to address:
The democratisation of design
The growth of design automation
The merging of related disciplines
In essence:
WE NEED BETTER DESIGN
Design Automation
https://medium.com/@worldofknight/the-design-science-manifesto-2-design-automation-522493d5f151#.fc9asvdoh
Design Democratisation
https://medium.com/@worldofknight/ux-is-dead-long-live-design-ergonomics-c6bdd1fe6abe#.kbsmj8zfk
Communicating Evidence to Influence Decisions
Presentation by Lorenzo Galli and Pietro Marenco from ScienceForWork, CEBMa Annual Meeting 2018, Chicago
Evidence-based decision-making in organizations: Why we need it and why some...
Evidence-based decision-making in organizations: Why we need it and why some...Center for Evidence-Based Management
This document discusses evidence-based decision making in organizations. It begins by defining evidence-based practice as the conscientious, explicit, and judicious use of the best available evidence from multiple sources to increase the likelihood of a favorable outcome. It then addresses some common myths about what evidence-based practice is and isn't. The document examines the classic argument for why organizations need evidence-based decision making, which is that it can help overcome biases, fads, and failures in decision making. However, it also notes potential challenges to this argument, such as whether decision making is truly dysfunctional or whether leaders feel successful without evidence-based practices. It concludes by considering alternative ways to promote evidence-based management beyond the classic "whyValue Sensitive Design: Four Challenges
The document discusses four challenges of value sensitive design (VSD): 1) determining what values to include in design, 2) translating values into design requirements, 3) resolving conflicts between values, and 4) verifying that a design embodies intended values. Each challenge raises deeper philosophical issues. The document provides approaches for addressing the challenges, such as constructing a values hierarchy to guide design requirements and using non-optimizing techniques like satisficing when values conflict.
ICAR-IFPRI - Basic Research Questions lecture 1 - Devesh Roy, IFPRI
ICAR-IFPRI - Basic Research Questions lecture 1 - Devesh Roy, IFPRIInternational Food Policy Research Institute- South Asia Office
ICAR-IFPRI: Methodologies in Agricultural Extension Research capacity development program from September 21-24, 2015 in New Delhi Practical research project management
This document provides tips and lessons for managing research projects. It outlines the project essentials, including defining what constitutes a completed project, potential barriers to completion, and how to ensure the team has what it needs to finish. Regular status meetings and use of a risk/action issue/interdependency/decision tool are recommended for monitoring progress. Lessons include setting clear expectations, spreading work evenly, documenting as you progress, and celebrating milestones. Potential pitfalls to avoid include scope creep and team members having differing goals or understanding of roles.
Experience and evidence
This document discusses the lack of empirical evidence around what should be taught for facilitating software projects and working with stakeholders. It notes that most of the existing approaches come from practitioner experiences and consultants/academics observing patterns, but there is little research comparing different methods. The document advocates for more empirical research to determine what facilitation techniques actually work best. It then provides examples from the author's experience between 1967-1979 where different approaches were needed for different projects and contexts. The author reflects on lessons learned around communication, requirements gathering, and developer motivations. The document aims to surface what facilitation practices are most useful based on evidence and experience.
Engineering engagement
Three environmental engineers - Sarah Bell, Tania Cobham, and Andrew Chilvers - are questioning their profession and practice through a 4-year Engineering Doctorate project sponsored by Arup. They explore philosophical questions about the limits, politics, impacts, and missing elements of engineering through lenses like social construction of technology, critical theory, and engineering ethics. Their goal is to better understand everyday engineering practice and the role of values, participation, and humanity in the field.
Lecture 1: Ideation
This lecture was delivered to undergraduates at Duke University's Pratt School of Engineering for the course on How to Form New Ventures in Electrical and Computer Engineering.
Judging Criteria for Regeneron ISEF
This document provides guidelines for judges to evaluate science fair projects. It outlines the criteria used to evaluate projects, which includes the research question/problem, design and methodology, execution, creativity, and presentation. Projects are judged on a 100 point scale, with 45 points for the project itself, 20 points for creativity, and 35 points for the presentation/interview. Guidance is provided on evaluating various aspects of the project like the research question, design, data collection and analysis, reproducibility, and understanding by team members. Tips are also provided for finalists preparing for their interview.
Welcome to ICSE NIER’15 (new ideas and emerging results).
This document provides information about the NIER'15 conference, including its goals, review process, and accepted papers. In 3 sentences:
NIER'15 seeks to present new and emerging ideas in software engineering that challenge established beliefs or directions through reflections on past research, initiatives funding new ideas, and visions of the future. 135 papers were submitted and underwent a rigorous review process, with 25 papers accepted for long or short presentations, representing a 19% acceptance rate. Information is provided on the review committee members, links to the accepted papers, and details on the poster session to discuss the papers further.
Research Skills I Learned in UIUC from Pi-Cheng Hsiu
The document provides guidance on research skills for computer science students. It outlines the key steps in the research process as picking a research area, identifying a problem, writing a paper, submitting to a conference, and presenting the work. It offers advice on each step, such as exploring different research areas and problems, following paper writing best practices, and giving effective presentations through being informative, interesting, and insightful. The overall goal is to equip students with the abilities to independently conduct research and make contributions to their chosen field.
Perfect Practices and Perils in Research Project Management
Presentation given by Vanitha Swaminathan (University of Pittsburgh) and Tom Brown (Oklahoma State University) on February 15, 2015 at the special DocSIG session of the American Marketing Association Winter Educators Conference.
Managerial Decision Making
The document discusses various topics related to digital technologies, innovation, and decision-making, including:
1) It introduces algorithms, reinforced learning, predictive analytics, and examples like PageRank.
2) It discusses the concepts of intelligence, design, and choice in decision-making.
3) It covers types of decisions like programmed vs non-programmed and factors like uncertainty, complexity, and equivocality that influence decisions.
Literature Review
This document discusses literature reviews and systematic literature reviews. It defines a literature review as an overview of previous research on a topic guided by research objectives. It lists purposes of literature reviews such as establishing gaps in knowledge. It provides tips for conducting literature reviews such as defining topics, prioritizing keywords, and identifying sources. The document then defines a systematic literature review as finding evidence from literature in a systematic way by stating review questions and finding answers. It lists the procedures for a systematic literature review such as starting with a well-defined question and critically assessing relevant literature.
Presenting your Research at the ECTEL Doctoral Consortium
Over the last four years of reviewing for the ECTEL Doctoral Consortium board I came across pretty much the same problems every year. This presentation condenses some recommendations that Ph.D. candidates should consider when putting a submission together. I hope this also helps for submissions to other doctoral consortia.
Research Challenges – Am I Doing “Real” Research?
The document discusses several aspects of research including:
1) Research requires an environment that allows people to brainstorm ideas that may fail without punishment in order to discover breakthroughs, as exemplified by Thomas Edison's many experiments.
2) True research involves interpretation and forming an opinion to establish the nature of an experiment, with basic research driven by curiosity to expand knowledge and applied research aimed at solving practical problems.
3) Characteristics of great researchers include curiosity, integrity, organization, and strong communication skills.
Research project mgt
This document provides checklists for managing various aspects of a research project, including principles, tools, methodology, ethics, interviews, questionnaires, and report writing. The checklists outline important considerations for each stage of research to ensure the project is well-planned, executed properly, and reported on accurately.
EBMgt Course Module 6: Searching for Scientific Evidence
The document discusses evidence-based practice and searching for evidence. It outlines the 5 steps of evidence-based practice as formulating a question, searching for evidence, appraising the evidence, applying the evidence to practice, and assessing outcomes. It then discusses 4 sources of evidence and describes different databases for searching. Finally, it provides detailed instructions on using building block and snowball search strategies, including developing search terms, using Boolean operators, and refining searches.
Past and Future of Software Testing and Analysis
The panel discusses the past and future of software testing and analysis. In the last decade, contributions included search-based software testing and using machine learning in test automation. Future directions include focusing on practical and scalable solutions, combining technologies like machine learning and symbolic execution to solve specific problems, and conducting applied research driven by industrial contexts. Impact requires collaboration between researchers and industry to understand problems.
Lecture 2 generating the research idea
This document provides guidance on formulating a research idea and writing a research proposal. It discusses choosing a research topic, generating ideas through literature reviews and discussions, and refining ideas. Key parts of a research proposal are outlined, including the research problem/question, objectives, methodology, timeline, and references. Evaluation criteria for proposals include how well the components fit together and the viability of the research plan. The importance of theory in developing clear research questions and objectives is also emphasized.
Generating the research idea lecture 2 isd 554
This document provides guidance on developing a research idea and proposal. It discusses choosing a research topic, generating ideas, and refining a topic of interest. Good research topics are feasible and appropriate. The research process involves developing research questions to guide the study, as well as objectives that specify what the research aims to achieve. A research proposal organizes these elements to convince others a proposed study is worthwhile and achievable. It should include background on the topic, research questions and objectives, methodology, timeline, and resources needed to answer why the research matters and how it will be conducted.
Action Research.pptx
Action research is an interventionist qualitative research method that involves collaborating with an organization to address a real-world problem and create positive change through a cyclical process of planning, action, evaluation, and reflection. The researcher works with practitioners to agree on a relevant problem area, plan interventions informed by relevant theory, study their effects on the organization through data collection methods, and reflect on learnings to both address the problem and contribute to the theoretical body of knowledge. Key principles include the researcher-client agreement, the cyclical process, relating practical problems to abstract theory, creating change through action, and learning through reflection.
More Related Content
What's hot
Communicating Evidence to Influence Decisions
Presentation by Lorenzo Galli and Pietro Marenco from ScienceForWork, CEBMa Annual Meeting 2018, Chicago
Evidence-based decision-making in organizations: Why we need it and why some...
Evidence-based decision-making in organizations: Why we need it and why some...Center for Evidence-Based Management
This document discusses evidence-based decision making in organizations. It begins by defining evidence-based practice as the conscientious, explicit, and judicious use of the best available evidence from multiple sources to increase the likelihood of a favorable outcome. It then addresses some common myths about what evidence-based practice is and isn't. The document examines the classic argument for why organizations need evidence-based decision making, which is that it can help overcome biases, fads, and failures in decision making. However, it also notes potential challenges to this argument, such as whether decision making is truly dysfunctional or whether leaders feel successful without evidence-based practices. It concludes by considering alternative ways to promote evidence-based management beyond the classic "whyValue Sensitive Design: Four Challenges
The document discusses four challenges of value sensitive design (VSD): 1) determining what values to include in design, 2) translating values into design requirements, 3) resolving conflicts between values, and 4) verifying that a design embodies intended values. Each challenge raises deeper philosophical issues. The document provides approaches for addressing the challenges, such as constructing a values hierarchy to guide design requirements and using non-optimizing techniques like satisficing when values conflict.
ICAR-IFPRI - Basic Research Questions lecture 1 - Devesh Roy, IFPRI
ICAR-IFPRI - Basic Research Questions lecture 1 - Devesh Roy, IFPRIInternational Food Policy Research Institute- South Asia Office
ICAR-IFPRI: Methodologies in Agricultural Extension Research capacity development program from September 21-24, 2015 in New Delhi Practical research project management
This document provides tips and lessons for managing research projects. It outlines the project essentials, including defining what constitutes a completed project, potential barriers to completion, and how to ensure the team has what it needs to finish. Regular status meetings and use of a risk/action issue/interdependency/decision tool are recommended for monitoring progress. Lessons include setting clear expectations, spreading work evenly, documenting as you progress, and celebrating milestones. Potential pitfalls to avoid include scope creep and team members having differing goals or understanding of roles.
Experience and evidence
This document discusses the lack of empirical evidence around what should be taught for facilitating software projects and working with stakeholders. It notes that most of the existing approaches come from practitioner experiences and consultants/academics observing patterns, but there is little research comparing different methods. The document advocates for more empirical research to determine what facilitation techniques actually work best. It then provides examples from the author's experience between 1967-1979 where different approaches were needed for different projects and contexts. The author reflects on lessons learned around communication, requirements gathering, and developer motivations. The document aims to surface what facilitation practices are most useful based on evidence and experience.
Engineering engagement
Three environmental engineers - Sarah Bell, Tania Cobham, and Andrew Chilvers - are questioning their profession and practice through a 4-year Engineering Doctorate project sponsored by Arup. They explore philosophical questions about the limits, politics, impacts, and missing elements of engineering through lenses like social construction of technology, critical theory, and engineering ethics. Their goal is to better understand everyday engineering practice and the role of values, participation, and humanity in the field.
Lecture 1: Ideation
This lecture was delivered to undergraduates at Duke University's Pratt School of Engineering for the course on How to Form New Ventures in Electrical and Computer Engineering.
Judging Criteria for Regeneron ISEF
This document provides guidelines for judges to evaluate science fair projects. It outlines the criteria used to evaluate projects, which includes the research question/problem, design and methodology, execution, creativity, and presentation. Projects are judged on a 100 point scale, with 45 points for the project itself, 20 points for creativity, and 35 points for the presentation/interview. Guidance is provided on evaluating various aspects of the project like the research question, design, data collection and analysis, reproducibility, and understanding by team members. Tips are also provided for finalists preparing for their interview.
Welcome to ICSE NIER’15 (new ideas and emerging results).
This document provides information about the NIER'15 conference, including its goals, review process, and accepted papers. In 3 sentences:
NIER'15 seeks to present new and emerging ideas in software engineering that challenge established beliefs or directions through reflections on past research, initiatives funding new ideas, and visions of the future. 135 papers were submitted and underwent a rigorous review process, with 25 papers accepted for long or short presentations, representing a 19% acceptance rate. Information is provided on the review committee members, links to the accepted papers, and details on the poster session to discuss the papers further.
Research Skills I Learned in UIUC from Pi-Cheng Hsiu
The document provides guidance on research skills for computer science students. It outlines the key steps in the research process as picking a research area, identifying a problem, writing a paper, submitting to a conference, and presenting the work. It offers advice on each step, such as exploring different research areas and problems, following paper writing best practices, and giving effective presentations through being informative, interesting, and insightful. The overall goal is to equip students with the abilities to independently conduct research and make contributions to their chosen field.
Perfect Practices and Perils in Research Project Management
Presentation given by Vanitha Swaminathan (University of Pittsburgh) and Tom Brown (Oklahoma State University) on February 15, 2015 at the special DocSIG session of the American Marketing Association Winter Educators Conference.
Managerial Decision Making
The document discusses various topics related to digital technologies, innovation, and decision-making, including:
1) It introduces algorithms, reinforced learning, predictive analytics, and examples like PageRank.
2) It discusses the concepts of intelligence, design, and choice in decision-making.
3) It covers types of decisions like programmed vs non-programmed and factors like uncertainty, complexity, and equivocality that influence decisions.
Literature Review
This document discusses literature reviews and systematic literature reviews. It defines a literature review as an overview of previous research on a topic guided by research objectives. It lists purposes of literature reviews such as establishing gaps in knowledge. It provides tips for conducting literature reviews such as defining topics, prioritizing keywords, and identifying sources. The document then defines a systematic literature review as finding evidence from literature in a systematic way by stating review questions and finding answers. It lists the procedures for a systematic literature review such as starting with a well-defined question and critically assessing relevant literature.
Presenting your Research at the ECTEL Doctoral Consortium
Over the last four years of reviewing for the ECTEL Doctoral Consortium board I came across pretty much the same problems every year. This presentation condenses some recommendations that Ph.D. candidates should consider when putting a submission together. I hope this also helps for submissions to other doctoral consortia.
Research Challenges – Am I Doing “Real” Research?
The document discusses several aspects of research including:
1) Research requires an environment that allows people to brainstorm ideas that may fail without punishment in order to discover breakthroughs, as exemplified by Thomas Edison's many experiments.
2) True research involves interpretation and forming an opinion to establish the nature of an experiment, with basic research driven by curiosity to expand knowledge and applied research aimed at solving practical problems.
3) Characteristics of great researchers include curiosity, integrity, organization, and strong communication skills.
Research project mgt
This document provides checklists for managing various aspects of a research project, including principles, tools, methodology, ethics, interviews, questionnaires, and report writing. The checklists outline important considerations for each stage of research to ensure the project is well-planned, executed properly, and reported on accurately.
EBMgt Course Module 6: Searching for Scientific Evidence
The document discusses evidence-based practice and searching for evidence. It outlines the 5 steps of evidence-based practice as formulating a question, searching for evidence, appraising the evidence, applying the evidence to practice, and assessing outcomes. It then discusses 4 sources of evidence and describes different databases for searching. Finally, it provides detailed instructions on using building block and snowball search strategies, including developing search terms, using Boolean operators, and refining searches.
Past and Future of Software Testing and Analysis
The panel discusses the past and future of software testing and analysis. In the last decade, contributions included search-based software testing and using machine learning in test automation. Future directions include focusing on practical and scalable solutions, combining technologies like machine learning and symbolic execution to solve specific problems, and conducting applied research driven by industrial contexts. Impact requires collaboration between researchers and industry to understand problems.
What's hot (19)
Evidence-based decision-making in organizations: Why we need it and why some...
Evidence-based decision-making in organizations: Why we need it and why some...
ICAR-IFPRI - Basic Research Questions lecture 1 - Devesh Roy, IFPRI
ICAR-IFPRI - Basic Research Questions lecture 1 - Devesh Roy, IFPRI
Welcome to ICSE NIER’15 (new ideas and emerging results).
Welcome to ICSE NIER’15 (new ideas and emerging results).
Research Skills I Learned in UIUC from Pi-Cheng Hsiu
Research Skills I Learned in UIUC from Pi-Cheng Hsiu
Perfect Practices and Perils in Research Project Management
Perfect Practices and Perils in Research Project Management
Presenting your Research at the ECTEL Doctoral Consortium
Presenting your Research at the ECTEL Doctoral Consortium
EBMgt Course Module 6: Searching for Scientific Evidence
EBMgt Course Module 6: Searching for Scientific Evidence
Similar to The State of Software Engineering Research
Lecture 2 generating the research idea
This document provides guidance on formulating a research idea and writing a research proposal. It discusses choosing a research topic, generating ideas through literature reviews and discussions, and refining ideas. Key parts of a research proposal are outlined, including the research problem/question, objectives, methodology, timeline, and references. Evaluation criteria for proposals include how well the components fit together and the viability of the research plan. The importance of theory in developing clear research questions and objectives is also emphasized.
Generating the research idea lecture 2 isd 554
This document provides guidance on developing a research idea and proposal. It discusses choosing a research topic, generating ideas, and refining a topic of interest. Good research topics are feasible and appropriate. The research process involves developing research questions to guide the study, as well as objectives that specify what the research aims to achieve. A research proposal organizes these elements to convince others a proposed study is worthwhile and achievable. It should include background on the topic, research questions and objectives, methodology, timeline, and resources needed to answer why the research matters and how it will be conducted.
Action Research.pptx
Action research is an interventionist qualitative research method that involves collaborating with an organization to address a real-world problem and create positive change through a cyclical process of planning, action, evaluation, and reflection. The researcher works with practitioners to agree on a relevant problem area, plan interventions informed by relevant theory, study their effects on the organization through data collection methods, and reflect on learnings to both address the problem and contribute to the theoretical body of knowledge. Key principles include the researcher-client agreement, the cyclical process, relating practical problems to abstract theory, creating change through action, and learning through reflection.
Capstone project design components 1.25.14
This document provides guidance on developing the components of a project design for an MPA integrative capstone project at Presidio Graduate School. It identifies the key components as purposes, conceptual framework, actionable questions, and approach. Each component is then defined, with purposes addressing what issues are cared about and who would benefit, conceptual framework providing the theories and literature informing the project, actionable questions specifying what the project will address, and approach outlining what will be done to address the questions and create an end product. Relationships between the components are also noted.
Mathematicians, Social Scientists, or Engineers? The Split Minds of Software ...
This document discusses the split identities of software engineering researchers between being mathematicians, social scientists, or engineers. It notes there are three main communities - formal methods and guarantees, human and social studies, and engineering automated solutions - that have different backgrounds, languages, and research methods. While diversity is good, the communities need to be better connected to work together to solve problems. The document calls for more demand-driven, collaborative research with industry to have a greater impact and produce practical solutions.
Anticipatory Factors in Dialogic Design ISSS 2016
Applications of the systemic practices of dialogic design (Structured Dialogic Design and it variants) have recently developed and integrated futures and foresight models as anticipatory frameworks for policy and long-term planning situations (Weigand, et al, 2014). We have identified this model of practice as collaborative foresight, reflecting the perspective from practice that futures literacy must be considered an essential complement to multi-stakeholder deliberation where complex and competing interests are considered in planning and decision making. This study proposes approaches to advancement in science and practice that integrate essential properties of collective anticipatory modelling for design decisions.
Scientific principles for dialogic design have been developed and practiced over the course of nearly 50 years of developmental evolution, following Warfield’s (1986) Domain of Science Model (DoSM) and Christakis’ (2006, 2008) research extending the DoSM. One of the key principles in the DoSM refers to the recursive learning necessary to develop systemic practices, a second-order (deutero) learning process as noted in Warfield’s DoSM cycle. The standard model requires warranted claims to be evaluated from their testing in the Arena of real-world practice and reflective learning in order to advance new theory for inclusion in the accepted Corpus (theory supported by accepted evidence).
Recent developments from practice following from advanced design and strategic foresight theory lend support for progressing the models of dialogic design to explicitly entail methods of design and futuring within the historical model of dialogue. The observation driving this proposal can be summarized as “participants in collective designing efforts are likely to fail in their expected outcomes if they do not facilitate the requisite anticipation of future complexity in their domain of action.” Simply put, people will make significantly better plans and policies together if they can develop competency in futures thinking and share their understanding with one another.
Designing the Systems Sciences - AHO, Oslo, Oct 2012
This document discusses integrating systems thinking and design practices. It argues that while design sidesteps entrenched systems through unpredictable leaps, systems thinking sees design as problem solving and has not evolved with design. The document examines how systems theories have appropriated design and underconceptualized it. It proposes that both systems and design thinking could be enhanced through a more durable co-relationship and by acknowledging each other's perspectives and practices.
What is a contribution? PhD Seminar Session
This presentation includes academic material on what constitutes a contribution in academic research. It is the result of inputs from several researchers - see presentation sources for more details and follow-up reading.
Trends in-mgmt-research-july-2012-sgd
Management discipline is highly field oriented requiring strong focus on research. The current scenario is characterized by digitization, collaboration and novel measures to assess the impact of research.
Publish or Perish: Questioning the Impact of Our Research on the Software Dev...
Publish or Perish: Questioning the Impact of Our Research on the Software Dev...Margaret-Anne Storey
A Video for this talk can be found here: https://www.youtube.com/watch?v=DvRdBb9TEUI
Abstract: How often do we pause to consider how we, as a community, decide which developer problems we address, or how well we are doing at evaluating our solutions within real development contexts? Many of our research contributions in software engineering can be considered as purely technical. Yet somewhere, at some time, a software developer may be impacted by our research. In this talk, I invite the community to question the impact of our research on software developer productivity. To guide the discussion, I first paint a picture of the modern-day developer and the challenges they experience. I then present 4+1 views of software engineering research --- views that concern research context, method choice, research paradigms, theoretical knowledge and real-world impact. I demonstrate how these views can be used to design, communicate and distinguish individual studies, but also how they can be used to compose a critical perspective of our research at a community level. To conclude, I propose structural changes to our collective research and publishing activities --- changes to provoke a more expeditious consideration of the many challenges facing today's software developer.
(Thanks to Brynn Hawker for slide design and proposed new badges. brynn@hawker.me)
Slicing the evaluation cake
An overview of the approach to evaluation and impact for projects part of the JISC Content programme 2011-2013
Survey on Common Strategies of Vocabulary Reuse in Linked Open Data Modeling ...
The choice of which vocabulary to reuse when modeling and publishing Linked Open Data (LOD) is far from trivial. There is no study that investigates the different strategies of reusing vocabularies for LOD modeling and publishing. In this paper, we present the results of a survey with 79 participants that examines the most preferred vocabulary reuse strategies of LOD modeling. The participants, LOD publishers and practitioners, were asked to assess different vocabulary reuse strategies and explain their ranking decision. We found significant differences between the modeling strategies that range from reusing popular vocabularies, minimizing the number of vocabularies, and staying within one domain vocabulary. A very interesting insight is that the popularity in the meaning of how frequent a vocabulary is used in a data source is more important than how often individual classes and properties are used in the LOD cloud. Overall, the results of this survey help in better understanding the strategies how data engineers reuse vocabularies and may also be used to develop future vocabulary engineering tools.
FSE 2016 Panel: The State of Software Engineering Research
A companion blogpost is available here: http://margaretstorey.com/blog/2016/12/01/fse2016panel/
The panel is available on YouTube: https://youtu.be/sE_jX92jJr8
Abstract: As software becomes more ubiquitous and pervasive in today’s interconnected and instrumented world, software engineering—as a practice and as a research topic—is having a hard time keeping up. In this panel, we invite FSE 2016’s participants to engage with five prominent software engineering researchers as they reflect on the state of current software engineering research and share how they each believe our work impacts (or should impact) science, society and industry. Our panelists will discuss whether our community as a whole is achieving the right balance of science, engineering and design in its combined research efforts. This lively and interactive panel discussion will also highlight new areas of research that our community should pay more attention to, as well as suggest new ways of conducting research that could improve the impact of software engineering research in the near and distant future.
Panelists:
Lionel Briand, University of Luxembourg
Prem Devanbu, University of California at Davis
Peri Tarr, IBM Research
Laurie Williams, North Carolina State University
Tao Xie, University of Illinois at Urbana-Champaign
Moderator:
Margaret-Anne Storey, University of Victoria
Formulation of the research probleme Dr. SC sharma
The document discusses the importance of properly defining the research problem before beginning data collection and analysis for a marketing research study. It describes a situation where an alumni conducted a study for a restaurant chain but did not have a clear definition of the research problem. As a result, much of the data collected was not relevant and the whole study was a waste of resources. The key points made are that data analysis should provide information related to the problem components, and a written definition of the problem is needed before data collection to ensure the study addresses the problem.
Research Plan Development Workshop, Mario Tabucanon and Philip Vaughter, UNU-IAS
This presentation is part of the ProSPER.Net Young Researchers' School 2017 ‘Water Security for Sustainable Development in a Changing Climate’.
World Usability day: Bridging Research-Practice Gap
My keynote presentation to guide the discussion at the Dayton are event for World Usability Day, November 11, 2010.
Research and planning
The document discusses the importance of research and planning for media productions. It provides guidance on different types of research, including primary research conducted by the student and secondary research using existing sources. The document also addresses organizing research materials through blogging, planning productions with storyboards and schedules, and how research and planning can inform and impact the practical production work. Students are prompted to reflect on how their research and planning skills have developed over time from AS to A2 levels and how those skills contributed to their media production outcomes.
Northwestern DBIR workshop for MPES
Slides from the workshop presentation on Design-Based Implementation Research for the Multidisciplinary Program in Education Sciences (MPES) at Northwestern University.
Presented by Bill Penuel and Barry Fishman on May 24, 2013.
Northwestern DBIR brown bag
Brown Bag presentation by Barry Fishman and Bill Penuel at Northwestern University School of Education and Social Policy on Design-Based Implementation Research (DBIR), presented on Thursday, May 23rd, 2013
Research topic richard paul --critical thinking intelligence
This document discusses project delivery and selection methods. It describes the typical phases of a project as planning, design, construction, and occupancy. In the planning phase, needs are defined and design requirements and cost estimates are developed. Design then turns the requirements into detailed plans and specifications. Construction involves building the project, while designers provide additional engineering support. Project delivery and selection methods determine the roles and responsibilities of designers in each phase.
Similar to The State of Software Engineering Research (20)
Mathematicians, Social Scientists, or Engineers? The Split Minds of Software ...
Mathematicians, Social Scientists, or Engineers? The Split Minds of Software ...
Designing the Systems Sciences - AHO, Oslo, Oct 2012
Designing the Systems Sciences - AHO, Oslo, Oct 2012
Publish or Perish: Questioning the Impact of Our Research on the Software Dev...
Publish or Perish: Questioning the Impact of Our Research on the Software Dev...
Survey on Common Strategies of Vocabulary Reuse in Linked Open Data Modeling ...
Survey on Common Strategies of Vocabulary Reuse in Linked Open Data Modeling ...
FSE 2016 Panel: The State of Software Engineering Research
FSE 2016 Panel: The State of Software Engineering Research
Formulation of the research probleme Dr. SC sharma
Formulation of the research probleme Dr. SC sharma
Research Plan Development Workshop, Mario Tabucanon and Philip Vaughter, UNU-IAS
Research Plan Development Workshop, Mario Tabucanon and Philip Vaughter, UNU-IAS
World Usability day: Bridging Research-Practice Gap
World Usability day: Bridging Research-Practice Gap
Research topic richard paul --critical thinking intelligence
Research topic richard paul --critical thinking intelligence
More from Lionel Briand
Precise and Complete Requirements? An Elusive Goal
The document discusses the challenges of achieving precise and complete requirements upfront in software development projects. It notes that while academics assume detailed requirements are needed, practitioners find this difficult to achieve in reality due to limited resources, uncertainty, and changing needs. The document provides perspectives from practice that emphasize starting with prototypes and visions rather than detailed specifications. It also summarizes research finding diverse requirements practices across different domains and organizations. The document concludes that while precise requirements may be desirable, they are often elusive goals, and the focus should be on achieving compliance and delivering working software.
Large Language Models for Test Case Evolution and Repair
Large language models show promise for test case repair tasks. LLMs can be applied to tasks like test case generation, classification of flaky tests, and test case evolution and repair. The paper presents TaRGet, a framework that uses LLMs for automated test case repair. TaRGet takes as input a broken test case and code changes to the system under test, and outputs a repaired test case. Evaluation shows TaRGet achieves over 80% plausible repair accuracy. The paper analyzes repair characteristics, evaluates different LLM and input/output formats, and examines the impact of fine-tuning data size on performance.
Metamorphic Testing for Web System Security
This document summarizes a presentation on metamorphic testing for web system security given by Nazanin Bayati on September 13, 2023. Metamorphic testing uses relations between the outputs of multiple test executions to test systems when specifying expected outputs is difficult. It was applied to web systems by generating follow-up inputs based on transformations of valid interactions and checking that output relations held. The approach detected over 60% of vulnerabilities in tested systems and addressed more vulnerability types than static and dynamic analysis tools. It provides an effective and automated way to test for security issues in web systems.
Simulator-based Explanation and Debugging of Hazard-triggering Events in DNN-...
This document proposes a method called SEDE (Simulator-based Explanations for DNN Errors) to automatically generate explanations for errors in DNN-based safety-critical systems by constraining simulator parameters. SEDE first identifies clusters of error-inducing images, then uses an evolutionary algorithm to generate simulator images within each cluster, including failing, passing, and representative images. SEDE extracts rules characterizing the unsafe parameter space and uses the generated images to retrain DNNs, improving accuracy compared to alternative methods. The paper evaluates SEDE on head pose and face landmark detection DNNs in terms of generating diverse cluster images, delimiting unsafe spaces, and enhancing DNN performance.
Fuzzing for CPS Mutation Testing
This document summarizes a research paper on using grey-box fuzzing (MOTIF) for mutation testing of C/C++ code in cyber-physical systems (CPS). It introduces mutation testing and grey-box fuzzing, and proposes MOTIF which generates a fuzzing driver to test functions with live mutants. An empirical evaluation compares MOTIF to symbolic execution-based mutation testing on three subject programs. MOTIF killed more mutants within 10,000 seconds and was able to test programs that symbolic execution could not handle due to limitations like floating-point values. Seed inputs alone killed few mutants, showing the importance of fuzzing. MOTIF is an effective approach for mutation testing of CPS software.
Data-driven Mutation Analysis for Cyber-Physical Systems
Data-driven mutation analysis is proposed to assess if test suites for cyber-physical systems properly exercise component interoperability. Fault models are developed for different data types and dependencies, and are used to automatically generate mutants by injecting faults. Empirical results on industrial systems demonstrate the feasibility and effectiveness of the approach in identifying test suite shortcomings and poor oracles.
Many-Objective Reinforcement Learning for Online Testing of DNN-Enabled Systems
This document proposes MORLOT (Many-Objective Reinforcement Learning for Online Testing) to address challenges in online testing of DNN-enabled systems. MORLOT leverages many-objective search and reinforcement learning to choose test actions. It was evaluated on the Transfuser autonomous driving system in the CARLA simulator using 6 safety requirements. MORLOT was significantly more effective and efficient at finding safety violations than random search or other many-objective approaches, achieving a higher average test effectiveness for any given test budget.
ATM: Black-box Test Case Minimization based on Test Code Similarity and Evolu...
1. The document presents ATM, a new approach for black-box test case minimization that transforms test code into abstract syntax trees and uses tree-based similarity measures and genetic algorithms to minimize test suites.
2. ATM was evaluated on the DEFECTS4J dataset and achieved a fault detection rate of 0.82 on average, significantly outperforming existing techniques, while requiring only practical execution times.
3. The best configuration of ATM used a genetic algorithm with a combined similarity measure, achieving a fault detection rate of 0.80 within 1.2 hours on average.
Black-box Safety Analysis and Retraining of DNNs based on Feature Extraction ...
The document is a journal paper that proposes a method for black-box safety analysis and retraining of deep neural networks (DNNs) based on feature extraction and clustering of failure-inducing images. The method uses a pre-trained VGG16 model to extract features from failure images, clusters the features using DBSCAN, selects clusters that likely caused failures, and retrains the DNN to improve safety based on images in problematic clusters. An empirical evaluation on various DNNs for tasks like gaze detection showed the method effectively determined failure causes through clustering and improved models with fewer images than other approaches.
PRINS: Scalable Model Inference for Component-based System Logs
PRINS is a technique for scalable model inference of component-based system logs. It divides the problem into inferring individual component models and then stitching them together. The paper evaluates PRINS on several systems and compares its execution time and accuracy to MINT, a state-of-the-art model inference tool. Results show that PRINS is significantly faster than MINT, especially on larger logs, with comparable accuracy. However, stitching component models can result in larger overall system models. The paper contributes an empirical evaluation of the PRINS technique and makes its implementation publicly available.
Revisiting the Notion of Diversity in Software Testing
The document discusses the concept of diversity in software testing. It provides examples of how diversity has been applied in various testing applications, including test case prioritization and minimization, mutation analysis, and explaining errors in deep neural networks. The key aspects of diversity discussed are the representation of test cases, measures of distance or similarity between cases, and techniques for maximizing diversity. The document emphasizes that the best approach depends on factors like information access, execution costs, and the specific application context.
Applications of Search-based Software Testing to Trustworthy Artificial Intel...
This document discusses search-based approaches for testing artificial intelligence systems. It covers testing at different levels, from model-level testing of individual machine learning components to system-level testing of AI-enabled systems. At the model level, search-based techniques are used to generate test inputs that target weaknesses in deep learning models. At the system level, simulations and reinforcement learning are used to test AI components integrated into complex systems. The document outlines many open challenges in AI testing and argues that search-based approaches are well-suited to address challenges due to the complex, non-linear behaviors of AI systems.
Autonomous Systems: How to Address the Dilemma between Autonomy and Safety
Autonomous systems present safety challenges due to their complexity and use of machine learning. Two key approaches are needed to address these challenges: (1) design-time assurance cases to validate safety requirements and (2) run-time monitoring architectures to detect unsafe behavior. Automated testing techniques leveraging metaheuristics and machine learning can help provide evidence for assurance cases and learn conditions to guide run-time monitoring. However, more industrial experience is still needed to properly validate these approaches at scale for autonomous systems.
Reinforcement Learning for Test Case Prioritization
1) The document discusses using reinforcement learning for test case prioritization in continuous integration environments. It compares different ranking models (listwise, pairwise, pointwise) and reinforcement learning algorithms.
2) Pairwise and pointwise ranking models generally perform better than listwise, and pairwise training times are better than pointwise. The best configuration is pairwise ranking with the ACER algorithm.
3) When compared to traditional machine learning ranking models, the best reinforcement learning configuration provides significantly better ranking accuracy than the state-of-the-art MART model.
4) However, relying solely on test execution history may not provide sufficient features for an accurate prioritization policy regardless of the approach. Enriched datasets with more features
Mutation Analysis for Cyber-Physical Systems: Scalable Solutions and Results ...
The document summarizes a paper that presents Mutation Analysis for Space Software (MASS), a scalable and automated pipeline for mutation testing of cyber-physical systems software in the space domain. The pipeline includes steps to create mutants, sample and prioritize mutants, discard equivalent mutants, and compute mutation scores. An empirical evaluation on space software case studies found that MASS provides accurate mutation scores with fewer sampled mutants compared to other sampling approaches. It also enables significant time savings over non-optimized mutation analysis through test case prioritization and reduction techniques. MASS helps uncover weaknesses in test suites and ensures thorough software testing for safety-critical space systems.
On Systematically Building a Controlled Natural Language for Functional Requi...
The document presents a qualitative methodology for systematically building a controlled natural language (CNL) for functional requirements. It describes extracting requirements from software requirements specifications, identifying codes within the requirements, labeling and grouping the requirements, creating a grammar by identifying the content in requirements and deriving grammar rules. An evaluation of the developed CNL called Rimay showed it could express 88% of requirements from unseen documents and reached stability after analyzing three documents.
Efficient Online Testing for DNN-Enabled Systems using Surrogate-Assisted and...
This document proposes SAMOTA, a surrogate-assisted many-objective optimization approach for online testing of DNN-enabled systems. SAMOTA uses global and local surrogate models to replace expensive function evaluations. It clusters local data points and builds individual surrogate models for each cluster, rather than one model for all data. An evaluation on a DNN-enabled autonomous driving system shows SAMOTA achieves better test effectiveness and efficiency than alternative approaches, and clustering local data points leads to more effective local searches than using a single local model. SAMOTA is an effective method for online testing of complex DNN systems.
Guidelines for Assessing the Accuracy of Log Message Template Identification ...
The document provides guidelines for assessing the accuracy of log message template identification techniques. It discusses issues with existing accuracy metrics and proposes new metrics like Template Accuracy that are not sensitive to message frequency. It also recommends performing oracle template correction as templates extracted without source code are often incorrect. Additionally, it suggests analyzing incorrectly identified templates to understand weaknesses and provide insights to improve techniques. The guidelines aim to help properly evaluate template identification techniques for different use cases.
A Theoretical Framework for Understanding the Relationship between Log Parsin...
This document proposes a theoretical framework to understand the relationship between log parsing and anomaly detection. It argues that log parsing should be viewed as an information abstraction process that converts unstructured logs into structured logs. The goal of log parsing should be to extract the minimum amount of information necessary to distinguish normal behavior from anomalies. This "minimality" and "distinguishability" can be used to define ideal log parsing results. The framework aims to provide guidance on how log parsing quality impacts anomaly detection accuracy and determine the root causes of any inaccuracies.
Requirements in Cyber-Physical Systems: Specifications and Applications
This document discusses requirements engineering challenges for cyber-physical systems (CPS) and provides examples of applications. It presents research on specifying and verifying requirements for CPS through signal-based temporal properties (SBTPs). Formal languages like STL, STL*, and SFO are assessed for expressing SBTPs. Applications discussed include generating test oracles for automotive controllers, developing a taxonomy and formal specification framework for SBTPs, generating online test oracles using a restricted first-order logic, and developing a domain-specific language called SB-TemPsy-DSL for specifying SBTPs to enable trace checking of system requirements.
More from Lionel Briand (20)
Precise and Complete Requirements? An Elusive Goal
Precise and Complete Requirements? An Elusive Goal
Large Language Models for Test Case Evolution and Repair
Large Language Models for Test Case Evolution and Repair
Simulator-based Explanation and Debugging of Hazard-triggering Events in DNN-...
Simulator-based Explanation and Debugging of Hazard-triggering Events in DNN-...
Data-driven Mutation Analysis for Cyber-Physical Systems
Data-driven Mutation Analysis for Cyber-Physical Systems
Many-Objective Reinforcement Learning for Online Testing of DNN-Enabled Systems
Many-Objective Reinforcement Learning for Online Testing of DNN-Enabled Systems
ATM: Black-box Test Case Minimization based on Test Code Similarity and Evolu...
ATM: Black-box Test Case Minimization based on Test Code Similarity and Evolu...
Black-box Safety Analysis and Retraining of DNNs based on Feature Extraction ...
Black-box Safety Analysis and Retraining of DNNs based on Feature Extraction ...
PRINS: Scalable Model Inference for Component-based System Logs
PRINS: Scalable Model Inference for Component-based System Logs
Revisiting the Notion of Diversity in Software Testing
Revisiting the Notion of Diversity in Software Testing
Applications of Search-based Software Testing to Trustworthy Artificial Intel...
Applications of Search-based Software Testing to Trustworthy Artificial Intel...
Autonomous Systems: How to Address the Dilemma between Autonomy and Safety
Autonomous Systems: How to Address the Dilemma between Autonomy and Safety
Reinforcement Learning for Test Case Prioritization
Reinforcement Learning for Test Case Prioritization
Mutation Analysis for Cyber-Physical Systems: Scalable Solutions and Results ...
Mutation Analysis for Cyber-Physical Systems: Scalable Solutions and Results ...
On Systematically Building a Controlled Natural Language for Functional Requi...
On Systematically Building a Controlled Natural Language for Functional Requi...
Efficient Online Testing for DNN-Enabled Systems using Surrogate-Assisted and...
Efficient Online Testing for DNN-Enabled Systems using Surrogate-Assisted and...
Guidelines for Assessing the Accuracy of Log Message Template Identification ...
Guidelines for Assessing the Accuracy of Log Message Template Identification ...
A Theoretical Framework for Understanding the Relationship between Log Parsin...
A Theoretical Framework for Understanding the Relationship between Log Parsin...
Requirements in Cyber-Physical Systems: Specifications and Applications
Requirements in Cyber-Physical Systems: Specifications and Applications
Recently uploaded
Vitthal Shirke Java Microservices Resume.pdf
Software Engineering, Software Consulting, Tech Lead, Spring Boot, Spring Cloud, Spring Core, Spring JDBC, Spring Transaction, Spring MVC, OpenShift Cloud Platform, Kafka, REST, SOAP, LLD & HLD.
Measures in SQL (SIGMOD 2024, Santiago, Chile)
SQL has attained widespread adoption, but Business Intelligence tools still use their own higher level languages based upon a multidimensional paradigm. Composable calculations are what is missing from SQL, and we propose a new kind of column, called a measure, that attaches a calculation to a table. Like regular tables, tables with measures are composable and closed when used in queries.
SQL-with-measures has the power, conciseness and reusability of multidimensional languages but retains SQL semantics. Measure invocations can be expanded in place to simple, clear SQL.
To define the evaluation semantics for measures, we introduce context-sensitive expressions (a way to evaluate multidimensional expressions that is consistent with existing SQL semantics), a concept called evaluation context, and several operations for setting and modifying the evaluation context.
A talk at SIGMOD, June 9–15, 2024, Santiago, Chile
Authors: Julian Hyde (Google) and John Fremlin (Google)
https://doi.org/10.1145/3626246.3653374
UI5con 2024 - Bring Your Own Design System
How do you combine the OpenUI5/SAPUI5 programming model with a design system that makes its controls available as Web Components? Since OpenUI5/SAPUI5 1.120, the framework supports the integration of any Web Components. This makes it possible, for example, to natively embed own Web Components of your design system which are created with Stencil. The integration embeds the Web Components in a way that they can be used naturally in XMLViews, like with standard UI5 controls, and can be bound with data binding. Learn how you can also make use of the Web Components base class in OpenUI5/SAPUI5 to also integrate your Web Components and get inspired by the solution to generate a custom UI5 library providing the Web Components control wrappers for the native ones.
Using Xen Hypervisor for Functional Safety
An update on making Xen hypervisor functionally safe and enhancing its usage in automotive and industrial use cases
socradar-q1-2024-aviation-industry-report.pdf
SOCRadar's Aviation Industry Q1 Incident Report is out now!
The aviation industry has always been a prime target for cybercriminals due to its critical infrastructure and high stakes. In the first quarter of 2024, the sector faced an alarming surge in cybersecurity threats, revealing its vulnerabilities and the relentless sophistication of cyber attackers.
SOCRadar’s Aviation Industry, Quarterly Incident Report, provides an in-depth analysis of these threats, detected and examined through our extensive monitoring of hacker forums, Telegram channels, and dark web platforms.
Odoo ERP Vs. Traditional ERP Systems – A Comparative Analysis
When it is all about ERP solutions, companies typically meet their needs with common ERP solutions like SAP, Oracle, and Microsoft Dynamics. These big players have demonstrated that ERP systems can be either simple or highly comprehensive. This remains true today, but there are new factors to consider, including a promising new contender in the market that’s Odoo. This blog compares Odoo ERP with traditional ERP systems and explains why many companies now see Odoo ERP as the best choice.
What are ERP Systems?
An ERP, or Enterprise Resource Planning, system provides your company with valuable information to help you make better decisions and boost your ROI. You should choose an ERP system based on your company’s specific needs. For instance, if you run a manufacturing or retail business, you will need an ERP system that efficiently manages inventory. A consulting firm, on the other hand, would benefit from an ERP system that enhances daily operations. Similarly, eCommerce stores would select an ERP system tailored to their needs.
Because different businesses have different requirements, ERP system functionalities can vary. Among the various ERP systems available, Odoo ERP is considered one of the best in the ERp market with more than 12 million global users today.
Odoo is an open-source ERP system initially designed for small to medium-sized businesses but now suitable for a wide range of companies. Odoo offers a scalable and configurable point-of-sale management solution and allows you to create customised modules for specific industries. Odoo is gaining more popularity because it is built in a way that allows easy customisation, has a user-friendly interface, and is affordable. Here, you will cover the main differences and get to know why Odoo is gaining attention despite the many other ERP systems available in the market.
Neo4j - Product Vision and Knowledge Graphs - GraphSummit Paris
Dr. Jesús Barrasa, Head of Solutions Architecture for EMEA, Neo4j
Découvrez les dernières innovations de Neo4j, et notamment les dernières intégrations cloud et les améliorations produits qui font de Neo4j un choix essentiel pour les développeurs qui créent des applications avec des données interconnectées et de l’IA générative.
Neo4j - Product Vision and Knowledge Graphs - GraphSummit Paris
Dr. Jesús Barrasa, Head of Solutions Architecture for EMEA, Neo4j
Découvrez les dernières innovations de Neo4j, et notamment les dernières intégrations cloud et les améliorations produits qui font de Neo4j un choix essentiel pour les développeurs qui créent des applications avec des données interconnectées et de l’IA générative.
Requirement Traceability in Xen Functional Safety
Using OpenFastTrace to trace requirements in Xen functional safety
原版定制美国纽约州立大学奥尔巴尼分校毕业证学位证书原版一模一样
原版一模一样【微信：741003700 】【美国纽约州立大学奥尔巴尼分校毕业证学位证书】【微信：741003700 】学位证，留信认证（真实可查，永久存档）offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。
本公司拥有海外各大学样板无数，能完美还原海外各大学 Bachelor Diploma degree, Master Degree Diploma
1:1完美还原海外各大学毕业材料上的工艺：水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠。文字图案浮雕、激光镭射、紫外荧光、温感、复印防伪等防伪工艺。材料咨询办理、认证咨询办理请加学历顾问Q/微741003700
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
Top Benefits of Using Salesforce Healthcare CRM for Patient Management.pdf
Salesforce Healthcare CRM, implemented by VALiNTRY360, revolutionizes patient management by enhancing patient engagement, streamlining administrative processes, and improving care coordination. Its advanced analytics, robust security, and seamless integration with telehealth services ensure that healthcare providers can deliver personalized, efficient, and secure patient care. By automating routine tasks and providing actionable insights, Salesforce Healthcare CRM enables healthcare providers to focus on delivering high-quality care, leading to better patient outcomes and higher satisfaction. VALiNTRY360's expertise ensures a tailored solution that meets the unique needs of any healthcare practice, from small clinics to large hospital systems.
For more info visit us https://valintry360.com/solutions/health-life-sciences
openEuler Case Study - The Journey to Supply Chain Security
openEuler Case Study - The Journey to Supply Chain Security
Need for Speed: Removing speed bumps from your Symfony projects ⚡️
No one wants their application to drag like a car stuck in the slow lane! Yet it’s all too common to encounter bumpy, pothole-filled solutions that slow the speed of any application. Symfony apps are not an exception.
In this talk, I will take you for a spin around the performance racetrack. We’ll explore common pitfalls - those hidden potholes on your application that can cause unexpected slowdowns. Learn how to spot these performance bumps early, and more importantly, how to navigate around them to keep your application running at top speed.
We will focus in particular on tuning your engine at the application level, making the right adjustments to ensure that your system responds like a well-oiled, high-performance race car.
Hand Rolled Applicative User Validation Code Kata
Could you use a simple piece of Scala validation code (granted, a very simplistic one too!) that you can rewrite, now and again, to refresh your basic understanding of Applicative operators <*>, <*, *>?
The goal is not to write perfect code showcasing validation, but rather, to provide a small, rough-and ready exercise to reinforce your muscle-memory.
Despite its grandiose-sounding title, this deck consists of just three slides showing the Scala 3 code to be rewritten whenever the details of the operators begin to fade away.
The code is my rough and ready translation of a Haskell user-validation program found in a book called Finding Success (and Failure) in Haskell - Fall in love with applicative functors.
UI5con 2024 - Keynote: Latest News about UI5 and it’s Ecosystem
Learn about the latest innovations in and around OpenUI5/SAPUI5: UI5 Tooling, UI5 linter, UI5 Web Components, Web Components Integration, UI5 2.x, UI5 GenAI.
Recording:
https://www.youtube.com/live/MSdGLG2zLy8?si=INxBHTqkwHhxV5Ta&t=0
E-Invoicing Implementation: A Step-by-Step Guide for Saudi Arabian Companies
Explore the seamless transition to e-invoicing with this comprehensive guide tailored for Saudi Arabian businesses. Navigate the process effortlessly with step-by-step instructions designed to streamline implementation and enhance efficiency.
Mobile App Development Company In Noida | Drona Infotech
Drona Infotech is a premier mobile app development company in Noida, providing cutting-edge solutions for businesses.
Visit Us For : https://www.dronainfotech.com/mobile-application-development/
KuberTENes Birthday Bash Guadalajara - Introducción a Argo CD
Charla impartida en el evento de "KuberTENes Birthday Bash Guadalajara" para celebrar el 10mo. aniversario de Kubernetes #kuberTENes #celebr8k8s #k8s
Automated software refactoring with OpenRewrite and Generative AI.pptx.pdf
https://2024.springio.net/sessions/automated-software-refactoring-with-openrewrite-and-generative-ai/
Introducing Crescat - Event Management Software for Venues, Festivals and Eve...
Crescat is industry-trusted event management software, built by event professionals for event professionals. Founded in 2017, we have three key products tailored for the live event industry.
Crescat Event for concert promoters and event agencies. Crescat Venue for music venues, conference centers, wedding venues, concert halls and more. And Crescat Festival for festivals, conferences and complex events.
With a wide range of popular features such as event scheduling, shift management, volunteer and crew coordination, artist booking and much more, Crescat is designed for customisation and ease-of-use.
Over 125,000 events have been planned in Crescat and with hundreds of customers of all shapes and sizes, from boutique event agencies through to international concert promoters, Crescat is rigged for success. What's more, we highly value feedback from our users and we are constantly improving our software with updates, new features and improvements.
If you plan events, run a venue or produce festivals and you're looking for ways to make your life easier, then we have a solution for you. Try our software for free or schedule a no-obligation demo with one of our product specialists today at crescat.io
Recently uploaded (20)
Odoo ERP Vs. Traditional ERP Systems – A Comparative Analysis
Odoo ERP Vs. Traditional ERP Systems – A Comparative Analysis
Neo4j - Product Vision and Knowledge Graphs - GraphSummit Paris
Neo4j - Product Vision and Knowledge Graphs - GraphSummit Paris
Neo4j - Product Vision and Knowledge Graphs - GraphSummit Paris
Neo4j - Product Vision and Knowledge Graphs - GraphSummit Paris
Top Benefits of Using Salesforce Healthcare CRM for Patient Management.pdf
Top Benefits of Using Salesforce Healthcare CRM for Patient Management.pdf
openEuler Case Study - The Journey to Supply Chain Security
openEuler Case Study - The Journey to Supply Chain Security
Need for Speed: Removing speed bumps from your Symfony projects ⚡️
Need for Speed: Removing speed bumps from your Symfony projects ⚡️
UI5con 2024 - Keynote: Latest News about UI5 and it’s Ecosystem
UI5con 2024 - Keynote: Latest News about UI5 and it’s Ecosystem
E-Invoicing Implementation: A Step-by-Step Guide for Saudi Arabian Companies
E-Invoicing Implementation: A Step-by-Step Guide for Saudi Arabian Companies
Mobile App Development Company In Noida | Drona Infotech
Mobile App Development Company In Noida | Drona Infotech
KuberTENes Birthday Bash Guadalajara - Introducción a Argo CD
KuberTENes Birthday Bash Guadalajara - Introducción a Argo CD
Automated software refactoring with OpenRewrite and Generative AI.pptx.pdf
Automated software refactoring with OpenRewrite and Generative AI.pptx.pdf
Introducing Crescat - Event Management Software for Venues, Festivals and Eve...
Introducing Crescat - Event Management Software for Venues, Festivals and Eve...
The State of Software Engineering Research
- 1. .lusoftware verification & validation VVS The State of Software Engineering Research Lionel Briand FSE’16, November 16, 2016
- 2. Question 1 • Do you believe our community as a whole is achieving the right balance of science, engineering, and design in its combined research efforts? • Engineering and design aspects do not get nearly enough attention. • We need to devise not only novel, sound solutions but also practical and scalable ones. • Significant variations across domains and contexts. 2
- 3. Question 2 • What new or existing areas of research do you think our community should pay more attention to? • The problem is not with the areas we focus on, but with the dominant paradigm of academic research. • Research largely disconnected from practical engineering needs and priorities. • We fail to recognize the significant variations across domains and context. • In our discipline, context factors (including human ones), working assumptions, make a huge difference. 3
- 4. Question 3 • Do you have novel suggestions for how we could improve our research methods to increase the impact of software engineering research in the near and distant future? • More collaborative research with industry, leading to a better definition and prioritization of problems, realistic working assumptions in various application domains, better evaluation of practicality and scalability. • We are not a branch of computer science. We need to accept the fact that industrial (applied) research, driven by practicality and scalability considerations, is a necessary component of an engineering discipline. 4