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:

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

Showing 1-25 of 109 citing articles:

Boosting Bug-Report-Oriented Fault Localization with Segmentation and Stack-Trace Analysis
Chu-Pan Wong, Yingfei Xiong, Hongyu Zhang, et al.
(2014), pp. 181-190
Closed Access | Times Cited: 191

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

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

Predicting the objective and priority of issue reports in software repositories
Maliheh Izadi, Kiana Akbari, Abbas Heydarnoori
Empirical Software Engineering (2022) Vol. 27, Iss. 2
Closed Access | Times Cited: 48

Predicting the priority of a reported bug using machine learning techniques and cross project validation
Meera Sharma, Punam Bedi, Krishna Kumar Chaturvedi, et al.
(2012)
Closed Access | Times Cited: 84

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

CNN-Based Automatic Prioritization of Bug Reports
Qasim Umer, Hui Liu, Inam Illahi
IEEE Transactions on Reliability (2019) Vol. 69, Iss. 4, pp. 1341-1354
Closed Access | Times Cited: 71

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

An artificial intelligence framework on software bug triaging, technological evolution, and future challenges: A review
Naresh Kumar Nagwani, Jasjit S. Suri
International Journal of Information Management Data Insights (2023) Vol. 3, Iss. 1, pp. 100153-100153
Open Access | Times Cited: 17

The Influence Ranking for Testers in Bug Tracking Systems
Hui Li, Guofeng Gao, Rong Chen, et al.
International Journal of Software Engineering and Knowledge Engineering (2019) Vol. 29, Iss. 01, pp. 93-113
Closed Access | Times Cited: 51

Challenges and opportunities for software change request repositories: a systematic mapping study
Yguaratã Cerqueira Cavalcanti, Paulo Anselmo da Mota Silveira Neto, Ivan Machado, et al.
Journal of Software Evolution and Process (2013) Vol. 26, Iss. 7, pp. 620-653
Closed Access | Times Cited: 48

Ranking of software developers based on expertise score for bug triaging
Asmita Yadav, Sandeep Kumar Singh, Jasjit S. Suri
Information and Software Technology (2019) Vol. 112, pp. 1-17
Closed Access | Times Cited: 40

A Deep-Learning-Based Bug Priority Prediction Using RNN-LSTM Neural
Hani Bani-Salameh, Mohammed Sallam, Bashar Al shboul
e-Informatica Software Engineering Journal (2021) Vol. 15, Iss. 1
Open Access | Times Cited: 29

Enhanced Bug Priority Prediction via Priority-Sensitive Long Short-Term Memory–Attention Mechanism
Guang Yang, Jinfeng Ji, Jaehee Kim
Applied Sciences (2025) Vol. 15, Iss. 2, pp. 633-633
Open Access

Towards prioritizing user-related issue reports of mobile applications
Ehsan Noei, Feng Zhang, Shaohua Wang, et al.
Empirical Software Engineering (2019) Vol. 24, Iss. 4, pp. 1964-1996
Closed Access | Times Cited: 33

IT Ticket Classification: The Simpler, the Better
Aleksandra Revina, Krisztián Búza, Vera G. Meister
IEEE Access (2020) Vol. 8, pp. 193380-193395
Open Access | Times Cited: 31

Considering dependencies between bug reports to improve bugs triage
Rafi Almhana, Marouane Kessentini
Automated Software Engineering (2021) Vol. 28, Iss. 1
Closed Access | Times Cited: 27

Quantitative Quality Evaluation of Software Products by Considering Summary and Comments Entropy of a Reported Bug
Madhu Kumari, Ananya Misra, Sanjay Misra, et al.
Entropy (2019) Vol. 21, Iss. 1, pp. 91-91
Open Access | Times Cited: 28

An Empirical Comparison of Machine Learning Techniques in Predicting the Bug Severity of Open and Closed Source Projects
Krishna Kumar Chaturvedi, V. B. Singh
International Journal of Open Source Software and Processes (2012) Vol. 4, Iss. 2, pp. 32-59
Closed Access | Times Cited: 28

Clustering Crowdsourced Test Reports of Mobile Applications Using Image Understanding
Ди Лю, Yang Feng, Xiaofang Zhang, et al.
IEEE Transactions on Software Engineering (2020) Vol. 48, Iss. 4, pp. 1290-1308
Closed Access | Times Cited: 23

An Improved Classifier Based on Entropy and Deep Learning for Bug Priority Prediction
Madhu Kumari, V. B. Singh
Advances in intelligent systems and computing (2019), pp. 571-580
Closed Access | Times Cited: 19

A Release-Aware Bug Triaging Method Considering Developers' Bug-Fixing Loads
Yutaro Kashiwa, Masao Ohira
IEICE Transactions on Information and Systems (2020) Vol. E103.D, Iss. 2, pp. 348-362
Open Access | Times Cited: 18

Analyze the Performance of Software by Machine Learning Methods for Fault Prediction Techniques
Nikita Gupta, Ripu Ranjan Sinha, Ankur Goyal, et al.
International Journal on Recent and Innovation Trends in Computing and Communication (2023) Vol. 11, Iss. 5s, pp. 178-187
Open Access | Times Cited: 5

Semantically-enriched Jira Issue Tracking Data
Themistoklis Diamantopoulos, Dimitrios-Nikitas Nastos, Andreas L. Symeonidis
(2023), pp. 218-222
Closed Access | Times Cited: 5

A Novel Way of Assigning Software Bug Priority Using Supervised Classification on Clustered Bugs Data
Neetu Goyal, Naveen Aggarwal, Maitreyee Dutta
Advances in intelligent systems and computing (2014), pp. 493-501
Closed Access | Times Cited: 13

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