{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,13]],"date-time":"2026-03-13T22:56:35Z","timestamp":1773442595673,"version":"3.50.1"},"reference-count":63,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2025,4,23]],"date-time":"2025-04-23T00:00:00Z","timestamp":1745366400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2025,4,23]],"date-time":"2025-04-23T00:00:00Z","timestamp":1745366400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"funder":[{"DOI":"10.13039\/100030800","name":"Excellence Center at Link\u00f6ping - Lund in Information Technology","doi-asserted-by":"publisher","award":["20220235"],"award-info":[{"award-number":["20220235"]}],"id":[{"id":"10.13039\/100030800","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Software Qual J"],"published-print":{"date-parts":[[2025,6]]},"abstract":"<jats:title>Abstract<\/jats:title>\n          <jats:p>Context: Code reviewers provide valuable feedback during the code review. Identifying common issues described in the reviewers\u2019 feedback can provide input for devising context-specific software development improvements. However, the use of reviewer feedback for this purpose is currently less explored. Objective: In this study, we assess how automation can derive more interpretable and informative themes in reviewers\u2019 feedback and whether these themes help to identify recurring quality-related issues in code changes. Method: We conducted a participatory case study using the JabRef system to analyze reviewers\u2019 feedback on merged and abandoned code changes. We used two promising topic modeling methods (GSDMM and BERTopic) to identify themes in 5,560 code review comments. The resulting themes were analyzed and named by a domain expert from JabRef. Results: The domain expert considered the identified themes from the two topic models to represent quality-related issues. Different quality issues are pointed out in code reviews for merged and abandoned code changes. While BERTopic provides higher objective coherence, the domain expert considered themes from short-text topic modeling more informative and easy to interpret than BERTopic-based topic modeling. Conclusions: The identified prevalent code quality issues aim to address the maintainability-focused issues. The analysis of code review comments can enhance the current practices for JabRef by improving the guidelines for new developers and focusing discussions in the developer forums. The topic model choice impacts the interpretability of the generated themes, and a higher coherence (based on objective measures) of generated topics did not lead to improved interpretability by a domain expert.<\/jats:p>","DOI":"10.1007\/s11219-025-09720-9","type":"journal-article","created":{"date-parts":[[2025,4,23]],"date-time":"2025-04-23T06:17:01Z","timestamp":1745389021000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Supporting the identification of prevalent quality issues in code changes by analyzing reviewers\u2019 feedback"],"prefix":"10.1007","volume":"33","author":[{"given":"Umar","family":"Iftikhar","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"J\u00fcrgen","family":"B\u00f6rstler","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nauman","family":"Bin\u00a0Ali","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Oliver","family":"Kopp","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2025,4,23]]},"reference":[{"key":"9720_CR1","doi-asserted-by":"publisher","first-page":"74","DOI":"10.1016\/j.infsof.2018.02.005","volume":"98","author":"A Agrawal","year":"2018","unstructured":"Agrawal, A., Fu, W., & Menzies, T. (2018). What is wrong with topic modeling? And how to fix it using search-based software engineering. Information and Software Technology, 98, 74\u201388.","journal-title":"Information and Software Technology"},{"key":"9720_CR2","doi-asserted-by":"publisher","first-page":"1493","DOI":"10.1007\/s10664-019-09743-4","volume":"25","author":"M Ahasanuzzaman","year":"2020","unstructured":"Ahasanuzzaman, M., Asaduzzaman, M., Roy, C. K., & Schneider, K. A. (2020). Caps: a supervised technique for classifying stack overflow posts concerning api issues. Empirical Software Engineering, 25, 1493\u20131532.","journal-title":"Empirical Software Engineering"},{"key":"9720_CR3","unstructured":"Aletras, N., Stevenson, M. (2013). Evaluating topic coherence using distributional semantics. In: In proceedings of the 10th international conference on computational semantics, pp. 13\u201322"},{"key":"9720_CR4","unstructured":"Arafat, Y., Shamma, S.S.H. (2020). Categorizing review comments by mining software repositories. International Conference on Advances in Computing and Data Sciences, 12"},{"issue":"9","key":"9720_CR5","doi-asserted-by":"publisher","first-page":"2411","DOI":"10.1016\/j.jss.2013.04.023","volume":"86","author":"D Baca","year":"2013","unstructured":"Baca, D., & Petersen, K. (2013). Countermeasure graphs for software security risk assessment: An action research. Journal of Systems and Software, 86(9), 2411\u20132428.","journal-title":"Journal of Systems and Software"},{"key":"9720_CR6","doi-asserted-by":"crossref","unstructured":"Bacchelli, A., Bird, C. (2013). Expectations, outcomes, and challenges of modern code review. In: Proceedings of the 35th international conference on software engineering, pp. 712\u2013721","DOI":"10.1109\/ICSE.2013.6606617"},{"key":"9720_CR7","doi-asserted-by":"publisher","first-page":"619","DOI":"10.1007\/s10664-012-9231-y","volume":"19","author":"A Barua","year":"2014","unstructured":"Barua, A., Thomas, S. W., & Hassan, A. E. (2014). What are developers talking about? An analysis of topics and trends in stack overflow. Empirical Software Engineering, 19, 619\u2013654.","journal-title":"Empirical Software Engineering"},{"key":"9720_CR8","doi-asserted-by":"crossref","unstructured":"Bavota, G., Russo, B. (2015). Four eyes are better than two: On the impact of code reviews on software quality. In: Proceedings of the 31st ieee international conference on software maintenance and evolution, pp. 81\u201390","DOI":"10.1109\/ICSM.2015.7332454"},{"key":"9720_CR9","doi-asserted-by":"crossref","unstructured":"Beller, M., Bacchelli, A., Zaidman, A., Juergens, E. (2014). Modern code reviews in open-source projects: which problems do they fix? In: Proceedings of the 11th working conference on mining software repositories, pp. 202\u2013211","DOI":"10.1145\/2597073.2597082"},{"key":"9720_CR10","doi-asserted-by":"publisher","first-page":"465","DOI":"10.1007\/s10664-012-9224-x","volume":"19","author":"LR Biggers","year":"2014","unstructured":"Biggers, L. R., Bocovich, C., Capshaw, R., Eddy, B. P., Etzkorn, L. H., & Kraft, N. A. (2014). Configuring latent dirichlet allocation based feature location. Empirical Software Engineering, 19, 465\u2013500.","journal-title":"Empirical Software Engineering"},{"issue":"1","key":"9720_CR11","doi-asserted-by":"publisher","first-page":"56","DOI":"10.1109\/TSE.2016.2576451","volume":"43","author":"A Bosu","year":"2017","unstructured":"Bosu, A., Carver, J. C., Bird, C., Orbeck, J., & Chockley, C. (2017). Process aspects and social dynamics of contemporary code review: Insights from open source development and industrial practice at microsoft. Proceedings of the IEEE Transactions on Software Engineering, 43(1), 56\u201375.","journal-title":"Proceedings of the IEEE Transactions on Software Engineering"},{"key":"9720_CR12","unstructured":"Bouma, G. (2009) Normalized (pointwise) mutual information in collocation extraction. In: In Proceedings of german society of computational linguistics & language technology, 30, pp. 31\u201340"},{"key":"9720_CR13","doi-asserted-by":"crossref","unstructured":"Buntine, W.L., Mishra, S. (2014). Experiments with non-parametric topic models. In: Proceedings of the 20th ACM SIGKDD international conference on knowledge discovery and data mining, pp. 881\u2013890","DOI":"10.1145\/2623330.2623691"},{"key":"9720_CR14","unstructured":"Devlin, J., Chang, M.-W., Lee, K., Toutanova, K. (2018). Bert: Pre-training of deep bidirectional transformers for language understanding. arXiv:1810.04805"},{"key":"9720_CR15","doi-asserted-by":"crossref","unstructured":"Efstathiou, V., Chatzilenas, C., Spinellis, D. (2018). Word embeddings for the software engineering domain. In: Proceeding of the 15th international conference on mining software repositories, pp. 38\u201341","DOI":"10.1145\/3196398.3196448"},{"issue":"6","key":"9720_CR16","doi-asserted-by":"publisher","first-page":"3346","DOI":"10.1007\/s10664-018-9602-0","volume":"23","author":"Y Fan","year":"2018","unstructured":"Fan, Y., Xia, X., Lo, D., & Li, S. (2018). Early prediction of merged code changes to prioritize reviewing tasks. Empirical Software Engineering, 23(6), 3346\u20133393.","journal-title":"Empirical Software Engineering"},{"key":"9720_CR17","doi-asserted-by":"publisher","first-page":"89","DOI":"10.1007\/s10664-021-10075-5","volume":"27","author":"E Fregnan","year":"2022","unstructured":"Fregnan, E., Petrulio, F., Di Geronimo, L., & Bacchelli, A. (2022). What happens in my code reviews? An investigation on automatically classifying review changes. Empirical Software Engineering, 27, 89.","journal-title":"Empirical Software Engineering"},{"key":"9720_CR18","doi-asserted-by":"crossref","unstructured":"Gottigundala, T., Sereesathien, S., Da\u00a0Silva, B. (2021). Qualitatively Analyzing PR Rejection Reasons from Conversations in Open-Source Projects. In: Proceedings of the 13th IEEE\/ACM international workshop on cooperative and human aspects of software engineering, pp. 109\u2013112","DOI":"10.1109\/CHASE52884.2021.00021"},{"key":"9720_CR19","unstructured":"Grootendorst, M. (2020). BERTopic: Neural topic modeling with a class-based TF-IDF procedure. arXiv:2203.05794"},{"key":"9720_CR20","doi-asserted-by":"crossref","unstructured":"Gunawardena, S., Tempero, E., & Blincoe, K. (2023). Concerns identified in code review: A fine-grained, faceted classification. Information and Software Technology,153, 107054","DOI":"10.1016\/j.infsof.2022.107054"},{"key":"9720_CR21","doi-asserted-by":"publisher","first-page":"2694","DOI":"10.1007\/s10664-020-09819-6","volume":"25","author":"J Han","year":"2020","unstructured":"Han, J., Shihab, E., Wan, Z., Deng, S., & Xia, X. (2020). What do programmers discuss about deep learning frameworks. Empirical Software Engineering, 25, 2694\u20132747.","journal-title":"Empirical Software Engineering"},{"key":"9720_CR22","doi-asserted-by":"crossref","unstructured":"Haque, M.U., Iwaya, L.H., Babar, M.A. (2020) Challenges in docker development: A large-scale study using stack overflow. In: Proceedings of the 14th international symposium on empirical software engineering and measurement, pp. 1\u201311","DOI":"10.1145\/3382494.3410693"},{"key":"9720_CR23","doi-asserted-by":"crossref","unstructured":"Hen\u00df, S., Monperrus, M., Mezini, M. (2012). Semi-automatically extracting faqs to improve accessibility of software development knowledge. In: 2012 34th International conference on software engineering (ICSE), IEEE, pp. 793\u2013803","DOI":"10.1109\/ICSE.2012.6227139"},{"key":"9720_CR24","doi-asserted-by":"crossref","unstructured":"Iftikhar, U. (2024). Practical considerations and solutions in nlp-based analysis of code review comments-an experience report. In: International conference on product-focused software process improvement, Springer, pp. 342\u2013351.","DOI":"10.1007\/978-3-031-78386-9_24"},{"key":"9720_CR25","doi-asserted-by":"crossref","unstructured":"Iftikhar, U., B\u00f6rstler, J., Ali, N.B. (2023). On potential improvements in the analysis of the evolution of themes in code review comments. In: 49th Euromicro conference on software engineering and advanced applications (SEAA), pp. 340\u2013347","DOI":"10.1109\/SEAA60479.2023.00059"},{"key":"9720_CR26","doi-asserted-by":"crossref","unstructured":"Johnson, B., Song, Y., Murphy-Hill, E., Bowdidge, R. (2013). Why don\u2019t software developers use static analysis tools to find bugs? In: Proceedings of the 35th international conference on software engineering, pp. 672\u2013681","DOI":"10.1109\/ICSE.2013.6606613"},{"key":"9720_CR27","doi-asserted-by":"crossref","unstructured":"Kindon, S., Pain, R., Kesby, M. (2007). Participatory action research approaches and methods. Connecting people, participation and place. Abingdon: Routledge 260","DOI":"10.4324\/9780203933671"},{"key":"9720_CR28","doi-asserted-by":"crossref","unstructured":"Kononenko, O., Rose, T., Baysal, O., Godfrey, M., Theisen, D., De\u00a0Water, B. (2018). Studying pull request merges: a case study of shopify\u2019s active merchant. In: Proceedings of the 40th international conference on software engineering: software engineering in practice, pp. 124\u2013133","DOI":"10.1145\/3183519.3183542"},{"issue":"3","key":"9720_CR29","doi-asserted-by":"publisher","first-page":"441","DOI":"10.47397\/tb\/44-3\/tb138kopp-jabref","volume":"44","author":"O Kopp","year":"2023","unstructured":"Kopp, O., Snethlage, C. C., & Schwentker, C. (2023). JabRef: BibTeX-based literature management software. TUGboat, 44(3), 441\u2013447.","journal-title":"TUGboat"},{"key":"9720_CR30","doi-asserted-by":"crossref","unstructured":"Li, Z., Yu, Y., Yin, G., Wang, T., Fan, Q., Wang, H. (2017). Automatic classification of review comments in pull-based development model. In: Proceedings of the 29th international conference on software engineering and knowledge engineering, pp. 572\u2013577","DOI":"10.18293\/SEKE2017-039"},{"key":"9720_CR31","unstructured":"Liu, Y., Ott, M., Goyal, N., Du, J., Joshi, M., Chen, D., Levy, O., Lewis, M., Zettlemoyer, L., Stoyanov, V. (2019). Roberta: A robustly optimized bert pretraining approach. arXiv:1907.11692"},{"key":"9720_CR32","doi-asserted-by":"crossref","unstructured":"M\u00e4ntyl\u00e4, M. V., & Lassenius, C. (2009). What types of defects are really discovered in code reviews? IEEE Transactions on Software Engineering, 35(3), 430\u2013448.","DOI":"10.1109\/TSE.2008.71"},{"key":"9720_CR33","doi-asserted-by":"crossref","unstructured":"Martin\u00a0Bor\u010din, J.M.J. (2024). Optimizing BERTopic: Analysis and reproducibility study of parameter influences on topic modeling. In: Proceedings of the 46th european conference on information retrieval, 14611. Springer, ???","DOI":"10.1007\/978-3-031-56066-8_14"},{"key":"9720_CR34","volume-title":"Code Complete","author":"S McConnell","year":"2004","unstructured":"McConnell, S. (2004). Code Complete. Boston: Pearson Education."},{"issue":"29","key":"9720_CR35","doi-asserted-by":"publisher","first-page":"861","DOI":"10.21105\/joss.00861","volume":"3","author":"L McInnes","year":"2018","unstructured":"McInnes, L., Healy, J., Saul, N., & Gro\u00dfberger, L. (2018). Umap: Uniform manifold approximation and projection. Journal of Open Source Software, 3(29), 861.","journal-title":"Journal of Open Source Software"},{"key":"9720_CR36","doi-asserted-by":"crossref","unstructured":"McIntosh, S., Kamei, Y., Adams, B., Hassan, A.E. (2014). The impact of code review coverage and code review participation on software quality: A case study of the qt, vtk, and itk projects. In: Proceedings of the 11th working conference on mining software repositories, pp. 192\u2013201","DOI":"10.1145\/2597073.2597076"},{"key":"9720_CR37","doi-asserted-by":"crossref","unstructured":"Nu\u00f1ez-Varela, A. S., P\u00e9rez-Gonzalez, H. G., Mart\u00ednez-Perez, F. E., & Soubervielle-Montalvo, C. (2017). Source code metrics: A systematic mapping study. Journal of Systems and Software, 128, 164\u2013197.","DOI":"10.1016\/j.jss.2017.03.044"},{"key":"9720_CR38","doi-asserted-by":"crossref","unstructured":"Ochodek, M., Staron, M., Meding, W., S\u00f6der, O. (2022). Automated code review comment classification to improve modern code reviews. In: Proceedings of the 14th international conference on software quality, pp. 23\u201340","DOI":"10.1007\/978-3-031-04115-0_3"},{"key":"9720_CR39","doi-asserted-by":"crossref","unstructured":"Olsson, T., Ericsson, M., Wingkvist, A. (2017). The relationship of code churn and architectural violations in the open source software jabref. In: Proceedings of the 11th european conference on software architecture: companion proceedings, pp. 152\u2013158","DOI":"10.1145\/3129790.3129810"},{"key":"9720_CR40","unstructured":"OpenAI. (2023). GPT-4 Technical Report. arXiv:2303.08774 [cs]"},{"issue":"5","key":"9720_CR41","doi-asserted-by":"publisher","first-page":"1041","DOI":"10.1109\/TSE.2019.2912113","volume":"47","author":"M Paixao","year":"2019","unstructured":"Paixao, M., Krinke, J., Han, D., Ragkhitwetsagul, C., & Harman, M. (2019). The impact of code review on architectural changes. IEEE Transactions on Software Engineering, 47(5), 1041\u20131059.","journal-title":"IEEE Transactions on Software Engineering"},{"key":"9720_CR42","doi-asserted-by":"crossref","unstructured":"Panichella, A. (2021). A Systematic Comparison of search-Based approaches for LDA hyperparameter tuning. Information and Software Technology,130, 106411","DOI":"10.1016\/j.infsof.2020.106411"},{"key":"9720_CR43","doi-asserted-by":"crossref","unstructured":"Panichella, A., Dit, B., Oliveto, R., Di\u00a0Penta, M., Poshynanyk, D., De\u00a0Lucia, A. (2013) How to effectively use topic models for software engineering tasks? an approach based on genetic algorithms. In: Proceedings of the 35th international conference on software engineering, pp. 522\u2013531","DOI":"10.1109\/ICSE.2013.6606598"},{"key":"9720_CR44","doi-asserted-by":"crossref","unstructured":"Papadakis, N., Patel, A., Gottigundala, T., Garro, A., Graham, X., Da\u00a0Silva, B. (2020). Why Did your PR Get Rejected?: Defining Guidelines for Avoiding PR Rejection in Open Source Projects. In: Proceedings of the IEEE\/ACM 42nd international conference on software engineering workshops, pp. 165\u2013168","DOI":"10.1145\/3387940.3392235"},{"issue":"3","key":"9720_CR45","doi-asserted-by":"publisher","first-page":"1427","DOI":"10.1109\/TKDE.2020.2992485","volume":"34","author":"J Qiang","year":"2020","unstructured":"Qiang, J., Qian, Z., Li, Y., Yuan, Y., & Wu, X. (2020). Short text topic modeling techniques, applications, and performance: a survey. IEEE Transactions on Knowledge and Data Engineering, 34(3), 1427\u20131445.","journal-title":"IEEE Transactions on Knowledge and Data Engineering"},{"key":"9720_CR46","doi-asserted-by":"crossref","unstructured":"R\u00f6der, M., Both, A., Hinneburg, A. (2015). Exploring the space of topic coherence measures. In: In Proceedings of the eighth ACM international conference on web search and data mining, pp. 399\u2013408","DOI":"10.1145\/2684822.2685324"},{"key":"9720_CR47","doi-asserted-by":"publisher","first-page":"131","DOI":"10.1007\/s10664-008-9102-8","volume":"14","author":"P Runeson","year":"2009","unstructured":"Runeson, P., & H\u00f6st, M. (2009). Guidelines for conducting and reporting case study research in software engineering. Empirical Software Engineering, 14, 131\u2013164.","journal-title":"Empirical Software Engineering"},{"key":"9720_CR48","unstructured":"Schneider, N., Shouei, S., Ghantous, S., Feldman, E. (2023). Hate Speech Targets Detection in Parler using BERT. In: In proceedings of the 6th workshop on online abuse and harms"},{"key":"9720_CR49","doi-asserted-by":"crossref","unstructured":"Silva, C.C., Galster, M., Gilson, F. (2024). Applying short text topic models to instant messaging communication of software developers. Journal of Systems and Software, 112111","DOI":"10.1016\/j.jss.2024.112111"},{"issue":"6","key":"9720_CR50","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s10664-021-10026-0","volume":"26","author":"CC Silva","year":"2021","unstructured":"Silva, C. C., Galster, M., & Gilson, F. (2021). Topic modeling in software engineering research. Empirical Software Engineering, 26(6), 1\u201362.","journal-title":"Empirical Software Engineering"},{"key":"9720_CR51","doi-asserted-by":"publisher","first-page":"37","DOI":"10.1016\/j.infsof.2019.03.009","volume":"111","author":"LB Souza","year":"2019","unstructured":"Souza, L. B., Campos, E. C., Madeiral, F., Paix\u00e3o, K., Rocha, A. M., & Almeida Maia, M. (2019). Bootstrapping cookbooks for apis from crowd knowledge on stack overflow. Information and Software Technology, 111, 37\u201349.","journal-title":"Information and Software Technology"},{"key":"9720_CR52","doi-asserted-by":"publisher","first-page":"67","DOI":"10.1016\/j.infsof.2014.11.001","volume":"59","author":"I Steinmacher","year":"2015","unstructured":"Steinmacher, I., Silva, M. A. G., Gerosa, M. A., & Redmiles, D. F. (2015). A systematic literature review on the barriers faced by newcomers to open source software projects. Information and Software Technology, 59, 67\u201385.","journal-title":"Information and Software Technology"},{"key":"9720_CR53","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.infsof.2015.05.003","volume":"66","author":"X Sun","year":"2015","unstructured":"Sun, X., Li, B., Leung, H., Li, B., & Li, Y. (2015). Msr4sm: Using topic models to effectively mining software repositories for software maintenance tasks. Information and Software Technology, 66, 1\u201312.","journal-title":"Information and Software Technology"},{"key":"9720_CR54","doi-asserted-by":"crossref","unstructured":"Tang, J., Zhang, M., Mei, Q. (2013). One theme in all views: modeling consensus topics in multiple contexts. In: In Proceedings of the 19th ACM SIGKDD international conference on knowledge discovery and data mining, pp. 5\u201313","DOI":"10.1145\/2487575.2487682"},{"key":"9720_CR55","doi-asserted-by":"crossref","unstructured":"Thongtanunam, P., Tantithamthavorn, C., Kula, R.G., Yoshida, N., Iida, H., Matsumoto, K.-i. (2015). Who should review my code? a file location-based code-reviewer recommendation approach for modern code review. In: Proceedings of the IEEE 22nd international conference on software analysis, evolution, and reengineering (SANER), pp. 141\u2013150","DOI":"10.1109\/SANER.2015.7081824"},{"key":"9720_CR56","doi-asserted-by":"crossref","unstructured":"Turzo, A.K., Faysal, F., Poddar, O., Sarker, J., Iqbal, A., Bosu, A. (2023). Towards Automated Classification of Code Review Feedback to Support Analytics. In: Proceedings of the 17th ACM\/IEEE international symposium on empirical software engineering and measurement (2023)","DOI":"10.1109\/ESEM56168.2023.10304851"},{"key":"9720_CR57","doi-asserted-by":"crossref","unstructured":"Udupa, A., Adarsh, K.N., Aravinda, A., Godihal, N.H., Kayarvizhy, N. (2022). An Exploratory Analysis of GSDMM and BERTopic on Short Text Topic Modelling. In: Fourth international conference on cognitive computing and information processing, pp. 1\u20139","DOI":"10.1109\/CCIP57447.2022.10058687"},{"key":"9720_CR58","unstructured":"Unterkalmsteiner, M., Badampudi, D., Britto, R., Ali, N.B. (2024). Help me to understand this commit! - A vision for contextualized code reviews. CoRR arXiv:2402.09528"},{"key":"9720_CR59","doi-asserted-by":"publisher","first-page":"1419","DOI":"10.1007\/s10664-019-09750-5","volume":"25","author":"C Vassallo","year":"2020","unstructured":"Vassallo, C., Panichella, S., Palomba, F., Proksch, S., Gall, H. C., & Zaidman, A. (2020). How developers engage with static analysis tools in different contexts. Empirical Software Engineering, 25, 1419\u20131457.","journal-title":"Empirical Software Engineering"},{"key":"9720_CR60","doi-asserted-by":"publisher","first-page":"108","DOI":"10.1016\/j.infsof.2019.02.007","volume":"110","author":"Q Wang","year":"2019","unstructured":"Wang, Q., Xia, X., Lo, D., & Li, S. (2019). Why is my code change abandoned? Information and Software Technology, 110, 108\u2013120.","journal-title":"Information and Software Technology"},{"key":"9720_CR61","doi-asserted-by":"crossref","unstructured":"Wen, R., Lamothe, M., McIntosh, S. (2022). How does code reviewing feedback evolve?: A longitudinal study at Dell EMC. In: Proceedings of the 44th international conference on software engineering: software engineering in practice, pp. 151\u2013160","DOI":"10.1145\/3510457.3513039"},{"key":"9720_CR62","doi-asserted-by":"crossref","unstructured":"Xu, Y., Yin, Y., & Yin, J. (2017). Tackling topic general words in topic modeling. Engineering Applications of Artificial Intelligence, 62, 124\u2013133.","DOI":"10.1016\/j.engappai.2017.04.009"},{"key":"9720_CR63","doi-asserted-by":"crossref","unstructured":"Yin, J., Wang, J. (2014). A dirichlet multinomial mixture model-based approach for short text clustering. In: Proceedings of the 20th international conference on knowledge discovery and data mining, pp. 233\u2013242","DOI":"10.1145\/2623330.2623715"}],"container-title":["Software Quality Journal"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11219-025-09720-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11219-025-09720-9\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11219-025-09720-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,9]],"date-time":"2025-06-09T08:33:57Z","timestamp":1749458037000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11219-025-09720-9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,4,23]]},"references-count":63,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2025,6]]}},"alternative-id":["9720"],"URL":"https:\/\/doi.org\/10.1007\/s11219-025-09720-9","relation":{},"ISSN":["0963-9314","1573-1367"],"issn-type":[{"value":"0963-9314","type":"print"},{"value":"1573-1367","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,4,23]]},"assertion":[{"value":"5 April 2025","order":1,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"23 April 2025","order":2,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare no competing interests.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing Interests"}}],"article-number":"22"}}