OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Industrial applications of software defect prediction using machine learning: A business-driven systematic literature review
Szymon Stradowski, Lech Madeyski
Information and Software Technology (2023) Vol. 159, pp. 107192-107192
Open Access | Times Cited: 11

Showing 11 citing articles:

Predicting test failures induced by software defects: A lightweight alternative to software defect prediction and its industrial application
Lech Madeyski, Szymon Stradowski
Journal of Systems and Software (2025) Vol. 223, pp. 112360-112360
Closed Access | Times Cited: 1

A multi-objective effort-aware defect prediction approach based on NSGA-II
Xiao Yu, Li Liu, Lin Zhu, et al.
Applied Soft Computing (2023) Vol. 149, pp. 110941-110941
Closed Access | Times Cited: 7

Data-efficient software defect prediction: A comparative analysis of active learning-enhanced models and voting ensembles
Charalampos M. Liapis, Aikaterini Karanikola, Sotiris Kotsiantis
Information Sciences (2024) Vol. 676, pp. 120786-120786
Closed Access | Times Cited: 2

Machine Learning Approach for Evaluating Industry-Based Employer Ranking and Financial Stability
Prakash Chandra Swain, Seema Balan, Lakshmi. S. R, et al.
(2024), pp. 111-115
Closed Access | Times Cited: 2

Costs and Benefits of Machine Learning Software Defect Prediction: Industrial Case Study
Szymon Stradowski, Lech Madeyski
(2024), pp. 92-103
Closed Access | Times Cited: 1

Can we Knapsack Software Defect Prediction? Nokia 5G Case
Szymon Stradowski, Lech Madeyski
2022 IEEE/ACM 44th International Conference on Software Engineering: Companion Proceedings (ICSE-Companion) (2023), pp. 365-369
Closed Access | Times Cited: 3

Bridging the Gap Between Academia and Industry in Machine Learning Software Defect Prediction: Thirteen Considerations
Szymon Stradowski, Lech Madeyski
2021 36th IEEE/ACM International Conference on Automated Software Engineering (ASE) (2023), pp. 1098-1110
Closed Access | Times Cited: 2

Instance gravity oversampling method for software defect prediction
Yu Tang, Yang Zhou, Cheng Yang, et al.
Information and Software Technology (2024), pp. 107657-107657
Closed Access

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