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12/22/2022
Exploring Student Engagement and Outcomes: Experiences from Three Cycles of an Undergraduate Module
Many studies in educational data mining address specific learner groups,...
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06/14/2022
An analysis of retracted papers in Computer Science
Context: The retraction of research papers, for whatever reason, is a gr...
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04/04/2022
Problem reports and team maturity in agile automotive software development
Background: Volvo Cars is pioneering an agile transformation on a large ...
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03/18/2021
The impact of using biased performance metrics on software defect prediction research
Context: Software engineering researchers have undertaken many experimen...
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01/14/2021
Evaluating prediction systems in software project estimation
Context: Software engineering has a problem in that when we empirically ...
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03/02/2020
Assessing Software Defection Prediction Performance: Why Using the Matthews Correlation Coefficient Matters
Context: There is considerable diversity in the range and design of comp...
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09/10/2019
The Prevalence of Errors in Machine Learning Experiments
Context: Conducting experiments is central to research machine learning ...
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07/28/2019
A Systematic Review of Unsupervised Learning Techniques for Software Defect Prediction
Background: Unsupervised machine learners have been increasingly applied...
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10/17/2018
Inferencing into the void: problems with implicit populations Comments on `Empirical software engineering experts on the use of students and professionals in experiments'
I welcome the contribution from Falessi et al. [1] hereafter referred to...
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04/11/2018
An Experimental Evaluation of a De-biasing Intervention for Professional Software Developers
CONTEXT: The role of expert judgement is essential in our quest to impro...
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03/14/2018
Bad Smells in Software Analytics Papers
CONTEXT: There has been a rapid growth in the use of data analytics to u...
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02/13/2018