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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:

Comparing Mining Algorithms for Predicting the Severity of a Reported Bug
Ahmed Lamkanfi, Serge Demeyer, Quinten David Soetens, et al.
(2011), pp. 249-258
Closed Access | Times Cited: 227

Showing 1-25 of 227 citing articles:

Bug characteristics in open source software
Lin Tan, Chen Liu, LI Zhen-min, et al.
Empirical Software Engineering (2013) Vol. 19, Iss. 6, pp. 1665-1705
Closed Access | Times Cited: 212
Information Retrieval Based Nearest Neighbor Classification for Fine-Grained Bug Severity Prediction
Yuan Tian, David Lo, C. P. Sun
(2012)
Open Access | Times Cited: 171
Combining text mining and data mining for bug report classification
Yu Zhou, Yanxiang Tong, Ruihang Gu, et al.
Journal of Software Evolution and Process (2016) Vol. 28, Iss. 3, pp. 150-176
Closed Access | Times Cited: 161
A study on software fault prediction techniques
Santosh Singh Rathore, Sandeep Kumar
Artificial Intelligence Review (2017) Vol. 51, Iss. 2, pp. 255-327
Closed Access | Times Cited: 153
DRONE: Predicting Priority of Reported Bugs by Multi-factor Analysis
Yuan Tian, David Lo, C. P. Sun
(2013), pp. 200-209
Open Access | Times Cited: 146
Towards more accurate severity prediction and fixer recommendation of software bugs
Tao Zhang, Jiachi Chen, Geunseok Yang, et al.
Journal of Systems and Software (2016) Vol. 117, pp. 166-184
Closed Access | Times Cited: 139
An Empirical Study of Bugs in Machine Learning Systems
Ferdian Thung, Shaowei Wang, David Lo, et al.
(2012)
Open Access | Times Cited: 137
Automated prediction of bug report priority using multi-factor analysis
Yuan Tian, David Lo, Xin Xia, et al.
Empirical Software Engineering (2014) Vol. 20, Iss. 5, pp. 1354-1383
Closed Access | Times Cited: 127
Bug Prioritization to Facilitate Bug Report Triage
Jaweria Kanwal, Onaiza Maqbool
Journal of Computer Science and Technology (2012) Vol. 27, Iss. 2, pp. 397-412
Closed Access | Times Cited: 109
A survey on bug-report analysis
Jie M. Zhang, Xiao-Yin Wang, Dan Hao, et al.
Science China Information Sciences (2015) Vol. 58, Iss. 2, pp. 1-24
Closed Access | Times Cited: 109
Towards Semi-automatic Bug Triage and Severity Prediction Based on Topic Model and Multi-feature of Bug Reports
Geunseok Yang, Tao Zhang, Byungjeong Lee
(2014), pp. 97-106
Closed Access | Times Cited: 107
Characterizing and predicting blocking bugs in open source projects
Harold Valdivia Garcia, Emad Shihab
(2014)
Closed Access | Times Cited: 105
Combining Word Embedding with Information Retrieval to Recommend Similar Bug Reports
Xinli Yang, David Lo, Xin Xia, et al.
(2016), pp. 127-137
Open Access | Times Cited: 97
A survey on bug prioritization
Jamal Uddin, Rozaida Ghazali, Mustafa Mat Deris, et al.
Artificial Intelligence Review (2016) Vol. 47, Iss. 2, pp. 145-180
Closed Access | Times Cited: 92
Fusion of Multi-RSMOTE With Fuzzy Integral to Classify Bug Reports With an Imbalanced Distribution
Rong Chen, Shikai Guo, Xizhao Wang, et al.
IEEE Transactions on Fuzzy Systems (2019) Vol. 27, Iss. 12, pp. 2406-2420
Closed Access | Times Cited: 79
Deep Neural Network-Based Severity Prediction of Bug Reports
Waheed Yousuf Ramay, Qasim Umer, Yin Xu, et al.
IEEE Access (2019) Vol. 7, pp. 46846-46857
Open Access | Times Cited: 77
BERT- and TF-IDF-based feature extraction for long-lived bug prediction in FLOSS: A comparative study
Luiz Alberto Ferreira Gomes, Ricardo da Silva Torres, Mario Lúcio Côrtes
Information and Software Technology (2023) Vol. 160, pp. 107217-107217
Closed Access | Times Cited: 39
Determining Bug severity using machine learning techniques
Krishna Kumar Chaturvedi, V. B. Singh
(2012), pp. 1-6
Closed Access | Times Cited: 106
Emotion Based Automated Priority Prediction for Bug Reports
Qasim Umer, Hui Liu, Yasir Sultan
IEEE Access (2018) Vol. 6, pp. 35743-35752
Open Access | Times Cited: 82
How Practitioners Perceive Automated Bug Report Management Techniques
Weiqin Zou, David Lo, Zhenyu Chen, et al.
IEEE Transactions on Software Engineering (2018) Vol. 46, Iss. 8, pp. 836-862
Open Access | Times Cited: 82
The Eclipse and Mozilla defect tracking dataset: A genuine dataset for mining bug information
Ahmed Lamkanfi, J.P. Pérez, Serge Demeyer
(2013)
Closed Access | Times Cited: 77
Identification of Security Related Bug Reports via Text Mining Using Supervised and Unsupervised Classification
Katerina Goševa-Popstojanova, Jacob Tyo
(2018)
Open Access | Times Cited: 74
Empirical Evaluation of Bug Linking
Tegawendé F. Bissyandé, Ferdian Thung, Shaowei Wang, et al.
(2013)
Open Access | Times Cited: 72
Automatic, high accuracy prediction of reopened bugs
Xin Xia, David Lo, Emad Shihab, et al.
Automated Software Engineering (2014) Vol. 22, Iss. 1, pp. 75-109
Open Access | Times Cited: 70
A Literature Review of Research in Bug Resolution: Tasks, Challenges and Future Directions
Tao Zhang, He Jiang, Xiapu Luo, et al.
The Computer Journal (2015) Vol. 59, Iss. 5, pp. 741-773
Closed Access | Times Cited: 66
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