Journal
Aktar, MS., Liang, P., Waseem, M., Tahir, A., Ahmad, A., Zhang, B., . . . Li, Z. (2025). Architecture decisions in quantum software systems: An empirical study on Stack Exchange and GitHub.
Information and Software Technology. 177
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Tahir, A., Rasheed, S., Dietrich, J., Hashemi, N., & Zhang, L. (2023). Test flakiness’ causes, detection, impact and responses: A multivocal review.
Journal of Systems and Software. 206
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Ndukwe, IG., Licorish, SA., Tahir, A., & MacDonell, SG. (2023). How have views on Software Quality differed over time? Research and practice viewpoints.
Journal of Systems and Software. 195
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Han, X., Tahir, A., Liang, P., Counsell, S., Blincoe, K., Li, B., . . . Luo, Y. (2022). Code smells detection via modern code review: a study of the OpenStack and Qt communities.
Empirical Software Engineering. 27(6)
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Bennin, KE., Tahir, A., MacDonell, SG., & Börstler, J. (2022). An empirical study on the effectiveness of data resampling approaches for cross-project software defect prediction.
IET Software. 16(2), 185-199
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Licorish, SA., Galster, M., Kapitsaki, GM., & Tahir, A. (2022). Understanding students’ software development projects: Effort, performance, satisfaction, skills and their relation to the adequacy of outcomes developed.
Journal of Systems and Software. 186
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Tahir, A., Bennin, KE., Xiao, X., & MacDonell, SG. (2021). Does class size matter? An in-depth assessment of the effect of class size in software defect prediction.
Empirical Software Engineering. 26(5)
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HAYAKAWA, T., TSUNODA, M., TODA, K., NAKASAI, K., TAHIR, A., BENNIN, KE., . . . MATSUMOTO, K. (2021). A novel approach to address external validity issues in fault prediction using bandit algorithms.
IEICE Transactions on Information and Systems. E104D(2), 327-331
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Hayakawa, T., Tsunoda, M., Toda, K., Nakasai, K., Tahir, A., Bennin, KE., . . . Matsumoto, K. (2021). A Novel Approach to Address External Validity Issues in Fault Prediction Using Bandit Algorithms.
IEICE Transactions on Information and Systems. E104.D(2), 327-331 Retrieved from https://www.jstage.jst.go.jp/article/transinf/E104.D/2/E104.D_2020EDL8098/_article
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Tahir, AR., Neethirajan, S., Jayas, DS., Shahin, MA., Symons, SJ., & White, NDG. (2007). Evaluation of the effect of moisture content on cereal grains by digital image analysis.
Food Research International. 40(9), 1140-1145
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Tahir, A., Dietrich, J., Counsell, S., Licorish, S., & Yamashita, A. (2020). A large scale study on how developers discuss code smells and anti-pattern in Stack Exchange sites.
Information and Software Technology. 125
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Meldrum, S., Savarimuthu, BTR., Licorish, S., Tahir, AAA., Bosu, M., & Jayakaran, P. (2017). Is knee pain information on YouTube videos perceived to be helpful? An analysis of user comments and implications for dissemination on social media.
Digital Health. 3, 1-18
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Danesh, AS., Ahmad, R., Saybani, MR., & Tahir, A. (2012). Companies approaches in software release planning- Based on multiple case studies.
Journal of Software. 7(2), 471-478
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Tahir, A., Ahmad, R., & Kasirun, ZM. (2010). Maintainability dynamic metrics data collection based on aspect-oriented technology.
Malaysian Journal of Computer Science. 23(3), 177-194
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Conference
Majdinasab, V., Bishop, MJ., Rasheed, S., Moradidakhel, A., Tahir, A., & Khomh, F.Assessing the Security of GitHub Copilot's Generated Code-A Targeted Replication Ƶ.
Proceedings - 2024 IEEE International Conference on Software Analysis, Evolution and Reengineering, SANER 2024. (pp. 435 - 444).
[Conference]Authored by: Tahir, A.Read Online:
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Counsell, S., Swift, S., & Tahir, A.An '80-20' Approach to the Ƶ of Coupling.
Proceedings - 2023 49th Euromicro Conference on Software Engineering and Advanced Applications, SEAA 2023. (pp. 219 - 222).
[Conference]Authored by: Tahir, A.Read Online:
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Yamasaki, Y., Fedorov, N., Tsunoda, M., Monden, A., Tahir, A., Bennin, KE., . . . Nakasai, K.Software Defect Prediction by Online Learning Considering Defect Overlooking.
Proceedings - 2023 IEEE 34th International Symposium on Software Reliability Engineering Workshop, ISSREW 2023. (pp. 43 - 44).
[Conference]Authored by: Tahir, A.Read Online:
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Yu, J., Fu, L., Liang, P., Tahir, A., & Shahin, M.Security Defect Detection via Code Review: A Ƶ of the OpenStack and Qt Communities.
International Symposium on Empirical Software Engineering and Measurement. 1949-3770.
[Conference]Authored by: Tahir, A.Read Online:
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Rasheed, S., Dietrich, J., & Tahir, A.On the Effect of Instrumentation on Test Flakiness.
Proceedings - 2023 IEEE/ACM International Conference on Automation of Software Test, AST 2023. (pp. 123 - 127).
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Kudo, T., Tsunoda, M., Tahir, A., Bennin, KE., Toda, K., Nakasai, K., . . . Matsumoto, K.Preliminary Analysis of Review Method Selection Based on Bandit Algorithms.
Proceedings - Asia-Pacific Software Engineering Conference, APSEC. (pp. 492 - 496). 1530-1362.
[Conference]Authored by: Tahir, A.Read Online:
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Dietrich, J., Rasheed, S., & Tahir, A.Flaky Test Sanitisation via On-The-Fly Assumption Inference for Tests with Network Dependencies.
Proceedings - 2022 IEEE 22nd International Working Conference on Source Code Analysis and Manipulation, SCAM 2022. (pp. 264 - 275).
[Conference]Authored by: Tahir, A.Read Online:
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Hashemi, N., Tahir, A., & Rasheed, S.An Empirical Ƶ of Flaky Tests in JavaScript.
Proceedings - 2022 IEEE International Conference on Software Maintenance and Evolution, ICSME 2022. (pp. 24 - 34).
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Tabo, T., Kudo, T., Tsunoda, M., Tahir, A., Bennin, KE., Toda, K., . . . Monden, A.Clone Detection Method Selection Based on Bandit Algorithm: a Preliminary Analysis.
Proceedings - 2022 IEEE 16th International Workshop on Software Clones, IWSC 2022. (pp. 53 - 54).
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Fu, L., Liang, P., Rasheed, Z., Li, Z., Tahir, A., & Han, X.Potential Technical Debt and Its Resolution in Code Reviews: An Exploratory Ƶ of the OpenStack and Qt Communities.
International Symposium on Empirical Software Engineering and Measurement. (pp. 216 - 226). 1949-3770.
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Tsunoda, M., Monden, A., Toda, K., Tahir, A., Bennin, KE., Nakasai, K., . . . Matsumoto, K.Using Bandit Algorithms for Selecting Feature Reduction Techniques in Software Defect Prediction.
Proceedings - 2022 Mining Software Repositories Conference, MSR 2022. (pp. 670 - 681).
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Sui, L., Rasheed, S., Tahir, A., & Dietrich, J.A Ƶ of Single Statement Bugs Involving Dynamic Language Features.
IEEE International Conference on Program Comprehension. (pp. 494 - 498).
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Asano, T., Tsunoda, M., Toda, K., Tahir, A., Bennin, KE., Nakasai, K., . . . Matsumoto, K.Using Bandit Algorithms for Project Selection in Cross-Project Defect Prediction.
Proceedings - 2021 IEEE International Conference on Software Maintenance and Evolution, ICSME 2021. (pp. 649 - 653).
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Rasheed, S., Dietrich, J., & Tahir, A.Caught in the Web: DoS Vulnerabilities in Parsers for Structured Data.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). (pp. 67 - 85). 0302-9743.
[Conference]Authored by: Tahir, A.Read Online:
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Counsell, S., Swift, S., & Tahir, A.Where the Bugs are: A Quasi-replication Ƶ of the Effect of Inheritance Depth and Width in Java Systems.
Communications in Computer and Information Science. (pp. 459 - 472). 1865-0929.
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Han, X., Tahir, A., Liang, P., Counsell, S., & Luo, Y.Understanding Code Smell Detection via Code Review: A Ƶ of the OpenStack Community.
IEEE International Conference on Program Comprehension. (pp. 323 - 334).
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Stringer, J., Tahir, A., Blincoe, K., & Dietrich, J.Technical lag of dependencies in major package managers.
Proceedings - Asia-Pacific Software Engineering Conference, APSEC. (pp. 228 - 237). 1530-1362.
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Shcherban, S., Liang, P., Tahir, A., & Li, X.Automatic identification of code smell discussions on stack overflow: A preliminary investigation.
International Symposium on Empirical Software Engineering and Measurement. 1949-3770.
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Rodina, A., Amjed, T., & Zarinah, MK.An empirical assessment of the use of different communication modes for requirement elicitation and negotiation using students as a subject.
2012 IEEE Symposium on Computers and Informatics, ISCI 2012. (pp. 70 - 74).
[Conference]Authored by: Tahir, A.Read Online:
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Tahir, AR., Neethirajan, S., Jayas, DS., & Paliwal, J.Assessment of machine vision algorithm for quantification of foreign matter in wheat.
2006 ASABE Annual International Meeting.
[Conference]Authored by: Tahir, A.Read Abstract:
Shahin, MA., Symons, SJ., Schepdael, LV., & Tahir, AR.Three dimensional seed shape and size measurement with orthogonal cameras.
2006 ASABE Annual International Meeting.
[Conference]Authored by: Tahir, A.Read Abstract:
Sui, L., Dietrich, J., Tahir, A., & Fourtounis, G. (2020). On the recall of static call graph construction in practice.
Proceedings - International Conference on Software Engineering. (pp. 1049 - 1060).
[Conference Paper in Published Proceedings]Authored by: Tahir, A.Read Abstract:
Rasheed, S., Dietrich, J., & Tahir, A. (2019). Laughter in the wild: A study into DoS vulnerabilities in YAML.
Proceedings - 2019 18th IEEE International Conference on Trust, Security and Privacy in Computing and Communications/13th IEEE International Conference on Big Data Science and Engineering, TrustCom/BigDataSE 2019. (pp. 342 - 349).
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Dietrich, J., Pearce, D., Stringer, J., Tahir, A., & Blincoe, K. (2019). Dependency versioning in the wild.
IEEE International Working Conference on Mining Software Repositories. Vol. 2019-May (pp. 349 - 359).
[Conference Paper in Published Proceedings]Authored by: Tahir, A.Read Online:
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Yukizawa, U., Tsunoda, M., & Tahir, A. (2019). Please Help A Preliminary Ƶ on the Effect of Social Proof and Legitimization of Paltry Contributions in Donations to OSS.
SANER 2019 - Proceedings of the 2019 IEEE 26th International Conference on Software Analysis, Evolution, and Reengineering. (pp. 609 - 613).
[Conference Paper in Published Proceedings]Authored by: Tahir, A.Read Abstract:
Tahir, A., Bennin, KE., Macdonell, SG., & Marsland, S. (2018). Revisiting the size effect in software fault prediction models.
International Symposium on Empirical Software Engineering and Measurement.
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Tahir, A., Yamashita, A., Licorish, S., Dietrich, J., & Counsell, S. (2018). Can you tell me if it smells? A study on how developers discuss code smells and anti-patterns in Stack Overflow.
ACM International Conference Proceeding Series. Vol. Part F137700
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Sui, L., Dietrich, J., Emery, M., Rasheed, S., & Tahir, A. (2018). On the Soundness of Call Graph Construction in the Presence of Dynamic Language Features - A Benchmark and Tool Evaluation.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 11275 LNCS (pp. 69 - 88).
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Sui, L., DIetrich, J., & Tahir, A. (2017). On the Use of Mined Stack Traces to Improve the Soundness of Statically Constructed Call Graphs.
Proceedings - Asia-Pacific Software Engineering Conference, APSEC. Vol. 2017-December (pp. 672 - 676).
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Tahir, A., Licorish, SA., & MacDonell, SG. (2017). Feature Evolution and Reuse - An Exploratory Ƶ of Eclipse.
Proceedings - Asia-Pacific Software Engineering Conference, APSEC. Vol. 2017-December (pp. 582 - 587).
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Counsell, S., Hall, T., Shippey, T., Bowes, D., Tahir, A., & MacDonell, S. (2017). Assert use and defectiveness in industrial code.
Proceedings - 2017 IEEE 28th International Symposium on Software Reliability Engineering Workshops, ISSREW 2017. (pp. 20 - 23).
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Dietrich, J., Sui, L., Rasheed, S., & Tahir, A. (2017). On the construction of soundness oracles.
SOAP 2017 - Proceedings of the 6th ACM SIGPLAN International Workshop on State of the Art in Program Analysis, co-located with PLDI 2017. (pp. 37 - 42).
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Dietrich, J., Jezek, K., Rasheed, S., Tahir, A., & Potanin, A. (2017). Evil pickles: DoS attacks based on object-graph engineering.
Leibniz International Proceedings in Informatics, LIPIcs. Vol. 74 (pp. 101 - 1032).
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Tahir, A., Counsell, S., & MacDonell, SG. (2016). An empirical study into the relationship between class features and test smells.
2016 23RD ASIA-PACIFIC SOFTWARE ENGINEERING CONFERENCE (APSEC 2016). (pp. 137 - 144).
[Conference Paper in Published Proceedings]Authored by: Tahir, A.
Tahir, A., Counsell, S., & MacDonell, SG. (2016). An Empirical Ƶ into the Relationship between Class Features and Test Smells.
Proceedings - Asia-Pacific Software Engineering Conference, APSEC. Vol. 0 (pp. 137 - 144).
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Yamashita, A., Moonen, L., Mens, T., & Tahir, A. (2016). Report on the First International Workshop on Technical Debt Analytics (TDA 2016).
CEUR Workshop Proceedings. Vol. 1771 (pp. 58 - 63).
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Licorish, SA., Tahir, A., Bosu, MF., & MacDonell, SG. (2015). On satisfying the android OS community: User feedback still central to developers' portfolios.
Proceedings - 2015 24th Australasian Software Engineering Conference, ASWEC 2015. (pp. 78 - 87).
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Tahir, A., & MacDonell, SG. (2015). Combining dynamic analysis and visualization to explore the distribution of unit test suites.
International Workshop on Emerging Trends in Software Metrics, WETSoM. Vol. 2015-August (pp. 21 - 30).
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Tahir, A., MacDonell, SG., & Buchan, J. (2014). Understanding class-level testability through dynamic analysis.
ENASE 2014 - Proceedings of the 9th International Conference on Evaluation of Novel Approaches to Software Engineering. (pp. 38 - 47).
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Tahir, A., & MacDonell, SG. (2012). A systematic mapping study on dynamic metrics and software quality.
IEEE International Conference on Software Maintenance, ICSM. (pp. 326 - 335).
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Tahir, A., Ahmad, R., & Mohd Kasirun, Z. (2010). An empirical study on the use of standards and procedures in software development projects.
ICSTE 2010 - 2010 2nd International Conference on Software Technology and Engineering, Proceedings. Vol. 1
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Tahir, A., & Ahmad, R. (2010). Requirement engineering practices - An empirical study.
2010 International Conference on Computational Intelligence and Software Engineering, CiSE 2010.
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Tahir, A., & Ahmad, R. (2010). An AOP-based approach for collecting software maintainability dynamic metrics.
2nd International Conference on Computer Research and Development, ICCRD 2010. (pp. 168 - 172).
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