Machine learning techniques for code smell detection: A systematic literature review and meta-analysis

MI Azeem, F Palomba, L Shi, Q Wang - Information and Software …, 2019 - Elsevier
Background: Code smells indicate suboptimal design or implementation choices in the
source code that often lead it to be more change-and fault-prone. Researchers defined …

Predictive models in software engineering: Challenges and opportunities

Y Yang, X Xia, D Lo, T Bi, J Grundy… - ACM Transactions on …, 2022 - dl.acm.org
Predictive models are one of the most important techniques that are widely applied in many
areas of software engineering. There have been a large number of primary studies that …

The impact of automated parameter optimization on defect prediction models

C Tantithamthavorn, S McIntosh… - IEEE Transactions …, 2018 - ieeexplore.ieee.org
Defect prediction models-classifiers that identify defect-prone software modules-have
configurable parameters that control their characteristics (eg, the number of trees in a …

Fixminer: Mining relevant fix patterns for automated program repair

A Koyuncu, K Liu, TF Bissyandé, D Kim, J Klein… - Empirical Software …, 2020 - Springer
Patching is a common activity in software development. It is generally performed on a source
code base to address bugs or add new functionalities. In this context, given the recurrence of …

Studying just-in-time defect prediction using cross-project models

Y Kamei, T Fukushima, S McIntosh… - Empirical Software …, 2016 - Springer
Unlike traditional defect prediction models that identify defect-prone modules, Just-In-Time
(JIT) defect prediction models identify defect-inducing changes. As such, JIT defect models …

A survey on the use of topic models when mining software repositories

TH Chen, SW Thomas, AE Hassan - Empirical Software Engineering, 2016 - Springer
Researchers in software engineering have attempted to improve software development by
mining and analyzing software repositories. Since the majority of the software engineering …

Topic modeling in software engineering research

CC Silva, M Galster, F Gilson - Empirical Software Engineering, 2021 - Springer
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 …

An empirical study of just-in-time defect prediction using cross-project models

T Fukushima, Y Kamei, S McIntosh… - Proceedings of the 11th …, 2014 - dl.acm.org
Prior research suggests that predicting defect-inducing changes, ie, Just-In-Time (JIT) defect
prediction is a more practical alternative to traditional defect prediction techniques, providing …

iFixR: Bug report driven program repair

A Koyuncu, K Liu, TF Bissyandé, D Kim… - Proceedings of the …, 2019 - dl.acm.org
Issue tracking systems are commonly used in modern software development for collecting
feedback from users and developers. An ultimate automation target of software maintenance …

Automated bug assignment: Ensemble-based machine learning in large scale industrial contexts

L Jonsson, M Borg, D Broman, K Sandahl… - Empirical Software …, 2016 - Springer
Bug report assignment is an important part of software maintenance. In particular, incorrect
assignments of bug reports to development teams can be very expensive in large software …