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2022

Legacy code…original ↗
14 Feb 2022
Predicting defects on the line level, article revieworiginal ↗
7 Feb 2022
Post-Corona branding…original ↗
31 Jan 2022
Test prioritization – a systematic review (review)original ↗
17 Jan 2022

2021

Merry X-mas and the next year with AIoriginal ↗
20 Dec 2021
A Friday research and pedagogy reflection post…original ↗
17 Dec 2021
Noisy data, biased data – book revieworiginal ↗
13 Dec 2021
“That will never work” – A book about Netflixoriginal ↗
22 Oct 2021
Is software architecture and code the same?original ↗
15 Oct 2021
Cybersecurity, security, and safety…original ↗
11 Oct 2021
Open or close – how we can leverage innovation through collaboration (book review)original ↗
1 Oct 2021
How to make your pull request merged quickly… (article highlight)original ↗
24 Sept 2021
Predicting defect, but continuously (article highlight)original ↗
17 Sept 2021
Guiding the selection of research methodologies (article highlight)original ↗
10 Sept 2021
The speed of light and laws of software engineering…original ↗
3 Sept 2021
Comparing different security vulnerability detection techniques (article review)original ↗
27 Aug 2021
autoML – let’s talk about it…original ↗
23 Aug 2021
Reproducing AI models – a guidelineoriginal ↗
19 Aug 2021
Towards a brighter tomorrow…original ↗
16 Jul 2021
What will the future bring ….original ↗
8 Jul 2021
Thinking machines – summer readingoriginal ↗
2 Jul 2021
New from ML?original ↗
11 Jun 2021
Assessing the maturity of a metric teamoriginal ↗
4 Jun 2021
New programming tools?original ↗
28 May 2021
Challenges when using ML for SE (article review)original ↗
15 May 2021
How much does a testing cost and how to estimate it…original ↗
27 Apr 2021
If you want to test your CI test prioritizationoriginal ↗
31 Mar 2021
What makes a great code maintainer…original ↗
12 Mar 2021
Siri, Write the Next Method… (article highlight)original ↗
5 Mar 2021
Exploring code weaknesses in StackOverfloworiginal ↗
26 Feb 2021
Crowdsmelling…original ↗
5 Feb 2021
War and algorithmoriginal ↗
29 Jan 2021
Law for Computer Scientists and other folks (review)original ↗
22 Jan 2021
Understanding what’s going on helps you become a better software developer…original ↗
15 Jan 2021
Consistency in code reviews (article review)original ↗
8 Jan 2021

2020

AI for decision makers…original ↗
21 Dec 2020
Using skillset to do something different – helps me to reinvent myself and get more fun…original ↗
16 Dec 2020
Data labelling – activity that makes people hate ML….original ↗
4 Dec 2020
Testing machine learning systems…original ↗
27 Nov 2020
Who and when needs automated code reviews…original ↗
20 Nov 2020
Data analytics in SEoriginal ↗
10 Nov 2020
Is confusion a factor when reviewing a code?original ↗
3 Nov 2020
Is noise important in SE?original ↗
27 Oct 2020
What’s going on in Deep Learning – a literature review (paper review)original ↗
20 Oct 2020
Classifying SE research – an article revieworiginal ↗
13 Oct 2020
Action research in open source – a nice articleoriginal ↗
6 Oct 2020
Technical debt from the perspective of practitioners – article revieworiginal ↗
29 Sept 2020
Being wrong – book revieworiginal ↗
21 Sept 2020
Finding lines of code that require review – my 100 blog post!original ↗
15 Sept 2020
Recommending refactoring via commit message analysisoriginal ↗
11 Sept 2020
Rule makers, Rule breakers – a book about societiesoriginal ↗
7 Sept 2020
Who should fix this bug – again?original ↗
3 Sept 2020
If a tool can automatically refactor our code – is it good or bad for us, programmers?original ↗
28 Aug 2020
PHANTOM – finding well engineered software projects, fast…original ↗
24 Aug 2020
What do elite software developers do in software projects?original ↗
21 Aug 2020
Can we predict quality of service level quality based on metrics?original ↗
17 Aug 2020
Your code and AI – more than precision and recall!original ↗
13 Aug 2020
Engineering AI systems – differences to engineering “other” software systems…original ↗
3 Jul 2020
Problems with engineering AI systemsoriginal ↗
29 Jun 2020
Actionable software metrics – an interesting new articleoriginal ↗
26 Jun 2020
Midsummer reading – stumbling on happinessoriginal ↗
21 Jun 2020
What to discuss about Deep Learning? – an EMSE article revieworiginal ↗
18 Jun 2020
Emerging new field – DUO – Data mining and optimization (EMSE article)original ↗
15 Jun 2020
Building interactive dashboardsoriginal ↗
12 Jun 2020
How do you know if you are disrupted?original ↗
8 Jun 2020
Tools in Agile developmentoriginal ↗
5 Jun 2020
Testing ML applicationsoriginal ↗
1 Jun 2020
Succeeding with large scale measurement programsoriginal ↗
29 May 2020
Classifying code smells…original ↗
25 May 2020
The truth… or how things can be untrueoriginal ↗
18 May 2020
Machine learning for source code suggestion, completionoriginal ↗
15 May 2020
How do we know if something is popular…original ↗
11 May 2020
Using machine learning to understand the quality of requirementsoriginal ↗
5 May 2020
Developing recommender systems – a framework which may just be the one (for us)…original ↗
2 May 2020
Generating comments in code – can a machine make our code more readable?original ↗
27 Apr 2020
Quality of Deep Learning code – article revieworiginal ↗
24 Apr 2020
How bugs are born: a model to identify how bugs are introduced in software components (review)original ↗
20 Apr 2020
Finding many needles in one haystack?original ↗
17 Apr 2020
Machine learning testing.. (review)original ↗
14 Apr 2020
Stronger features vs. stronger algorithms in MLoriginal ↗
11 Mar 2020
Grit to Great or what we can learn from perseveranceoriginal ↗
26 Feb 2020
Measurement instrumentsoriginal ↗
17 Feb 2020
Midnight in Chernobyl or how small mistakes can lead to great disastersoriginal ↗
12 Feb 2020
Is it the data or the company’s needs that come first?original ↗
27 Jan 2020
Action research in software engineeringoriginal ↗
22 Jan 2020
AI Superpowersoriginal ↗
8 Jan 2020

2019

AI Christmasoriginal ↗
21 Dec 2019
Goals – KPIs – Effects, or which door should I choose?original ↗
22 Nov 2019
Good storage and traceability in ML4SEoriginal ↗
16 Oct 2019
AI Ethics – a programmer’s perspectiveoriginal ↗
22 Aug 2019
How do software engineers work with ML? — an interesting paper from Microsoftoriginal ↗
14 Jun 2019
Software analytics in the large scale – article review from IEEE Software in the light of our research on software development speedoriginal ↗
12 Jun 2019
Software Analytics or Software Factfulnessoriginal ↗
11 Apr 2019
Measuring Agile Software Developmentoriginal ↗
28 Mar 2019

2018

How good is your measurement program?original ↗
19 Nov 2018
Trailer about the metrics projectoriginal ↗
15 Nov 2018
Software center metrics day – reflections…original ↗
4 Nov 2018
Using Deep Learning to Understand codeoriginal ↗
30 Oct 2018
Software data fuels AI, ML and Software Analyticsoriginal ↗
25 Aug 2018
Software analytics, the next thing for software metrics in modern companiesoriginal ↗
15 Aug 2018
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