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Detecting code smells using machine learning techniques: Are we there yet?
Code smells are symptoms of poor design and implementation choices weighing heavily on
the quality of produced source code. During the last decades several code smell detection …
the quality of produced source code. During the last decades several code smell detection …
How software engineering research aligns with design science: a review
Background Assessing and communicating software engineering research can be
challenging. Design science is recognized as an appropriate research paradigm for applied …
challenging. Design science is recognized as an appropriate research paradigm for applied …
[HTML][HTML] Successful combination of database search and snowballing for identification of primary studies in systematic literature studies
Background: A good search strategy is essential for a successful systematic literature study.
Historically, database searches have been the norm, which was later complemented with …
Historically, database searches have been the norm, which was later complemented with …
[KÖNYV][B] Case study research in software engineering: Guidelines and examples
Based on their own experiences of in-depth case studies of software projects in international
corporations, in this book the authors present detailed practical guidelines on the …
corporations, in this book the authors present detailed practical guidelines on the …
[KÖNYV][B] Experimentation in software engineering
Have you ever had a need to evaluate software engineering methods or techniques against
each other? This book presents experimentation as one way of evaluating new methods and …
each other? This book presents experimentation as one way of evaluating new methods and …
Topic modeling in software engineering research
Topic modeling using models such as Latent Dirichlet Allocation (LDA) is a text mining
technique to extract human-readable semantic “topics”(ie, word clusters) from a corpus of …
technique to extract human-readable semantic “topics”(ie, word clusters) from a corpus of …
On negative results when using sentiment analysis tools for software engineering research
Recent years have seen an increasing attention to social aspects of software engineering,
including studies of emotions and sentiments experienced and expressed by the software …
including studies of emotions and sentiments experienced and expressed by the software …
An experience report on defect modelling in practice: Pitfalls and challenges
Over the past decade with the rise of the Mining Software Repositories (MSR) field, the
modelling of defects for large and long-lived systems has become one of the most common …
modelling of defects for large and long-lived systems has become one of the most common …
Views on internal and external validity in empirical software engineering
Empirical methods have grown common in software engineering, but there is no consensus
on how to apply them properly. Is practical relevance key? Do internally valid studies have …
on how to apply them properly. Is practical relevance key? Do internally valid studies have …
Computer science education in chatgpt era: Experiences from an experiment in a programming course for novice programmers
The use of large language models with chatbots like ChatGPT has become increasingly
popular among students, especially in Computer Science education. However, significant …
popular among students, especially in Computer Science education. However, significant …