#empiricalsoftwareengineering zoekresultaten

...program unveils the profound complexity and beauty that emerges from the simple act of flipping a number upside down—transforming x into 1/x and discovering what secrets lie in that transformation. github.com/Matthew-Pidlys… Documentation in folder. Godspeed Mathematicians!

This paper “Steering Software Qualities” shows that a software architecture, through abstractions, is the main way to direct the quality attributes of a system. Check it out! computer.org/csdl/magazine/…

For software engineering: Let your domain be expressive. Make everything else boring and constrained. Full research with 8 historical case studies: veshnu.substack.com/p/reducing-deg…

and what makes it even more impactful is how that discipline shows up in the architecture itself. Real market experience forces you to design around execution risk, liquidity shocks, failure modes, and path-dependent behavior. That’s the kind of structure you can’t…

Key scientific tools: Hypothesis formation, experimental design, controlling for confounding factors, parsimony of explanation, replicability, critical evaluation of evidence ... even iterative model refinement originated in Software Engineering.

Want to evaluate your model on software engineering tasks? turing.com/case-study/ben…

We built a benchmark of 500 expert-verified software engineering tasks sourced from real GitHub issues & PRs. From more than 2,000 candidates, only clear issues with fair, solution-agnostic tests made the cut. A reliable way to measure true model capability in real codebases.

This is what happens when you optimize for the actual problem instead of layering abstractions on top of abstractions. Most modern software treats system resources like they're infinite, which leads to bloated applications that do less with more. The engineering discipline here…

Has Experiential Empiricism Been Done or Refuted? A Systematic Check - PhilPapers philpapers.org/rec/SERHEE-2

Empirical process theory is the mathematical foundation of statistical learning theory. It provides the tools (like VC-dimension) to prove that machine learning models trained on a finite dataset will generalize well to new, unseen data. It essentially answers the question: "Why…

The problem with most software "engineers" is that they are neither rooted in reality (physics) or truth (math). They are rooted in a space built entirely by sophisticated language and abstraction. Language can be manipulated to serve and falsify both reality and truth. This is a…

Empirical processes theory provides the mathematical framework for studying the behavior of sample averages as random functions. It is the cornerstone of statistical learning, enabling the analysis of uniform convergence and generalization bounds for estimators and machine…

📝 New article: "An Exploration Study on Developing Blockchain Systems - the Practitioners' Perspective" by @mr_aljedaani, Aakash Ahmad, Mahdi Fehmideh, Arif Ali Khan, Jun Shen 👉 Get your copy at authors.elsevier.com/a/1lKpo3O8rCo9… #BlockchainSystem #EmpiricalSoftwareEngineering

Everything new is also old. This from my 1984 PhD thesis: "AI is an experimental science, yet the complexity of its programs and problem domains often makes the interpretation of results very difficult. Programs often contain so many components and parameters that limitations on…

@ISERNCommunity annual meeting starts tomorrow: two days of intensive work!!! #empiricalsoftwareengineering. @ESEM_conf Here the program: conf.researchr.org/program/esem-2…

@ISERNCommunity annual meeting is coming in less than one months! 12 sessions in two days discussing bout present and future of #empiricalsoftwareengineering. @ESEM_conf Here the program: conf.researchr.org/program/esem-2…

A quick reminder that the abstract submission of your #ESEM2024 research paper is due in a few hours. Check all the info in the website: conf.researchr.org/track/esem-202… #EmpiricalSoftwareEngineering

Carolyn Seaman is charing the first session on the Evaluation of Guidelines for #EmpiricalSoftwareEngineering Research #ISERN23

Q3 has started! @N4S_fi #EmpiricalSoftwareEngineering

Robust Statistical Methods for Empirical Software Engineering #journal #empiricalsoftwareengineering #statisticalmethods #robustmethods fullsteamahead365.com/2019/07/06/rob…

Robust Statistical Methods for Empirical Software Engineering #journal #empiricalsoftwareengineering #statisticalmethods #robustmethods fullsteamahead365.com/2019/07/06/rob…

.@unipb is looking to hire a full professor (W 3) of #empiricalsoftwareengineering. Candidates should have a proven, outstanding track record in empirical aspects of software engineering. Apply now: bit.ly/3gnfCMT

A quick reminder that the abstract submission of your #ESEM2024 research paper is due in a few hours. Check all the info in the website: conf.researchr.org/track/esem-202… #EmpiricalSoftwareEngineering

🎲🎲IEICE Trans. Inf. & Syst. Jan. issue🎲🎲 “Special Section on Empirical Software Engineering”🧩 search.ieice.org/bin/index.php?… Please check it. 🌄 #IEICE #EmpiricalSoftwareEngineering #Softwareanalytics

Freely access the Online Collection for Software Engineering and COVID-19 through October bit.ly/3EfPGfu #EmpiricalSoftwareEngineering #EMSE #SpringerJournal #FreeReads

Carolyn Seaman is charing the first session on the Evaluation of Guidelines for #EmpiricalSoftwareEngineering Research #ISERN23

"Abandon Statistical Significance" -- very nice read on how to do not fall into the p-value-based dichotomy and better report our empirical results, highly suggested. core.ac.uk/download/pdf/1… #empiricalSoftwareEngineering #AcademicReads