An Empirical Study of Model-Agnostic Techniques for Defect Prediction Models J Jiarpakdee, C Tantithamthavorn, HK Dam, J Grundy IEEE Transactions on Software Engineering (TSE), 2020 | 153 | 2020 |
Mining Software Defects: Should We Consider Affected Releases? S Yatish, J Jiarpakdee, P Thongtanunam, C Tantithamthavorn IEEE/ACM International Conference on Software Engineering (ICSE), 2019, 654-665, 2019 | 133 | 2019 |
The Impact of Correlated Metrics on the Interpretation of Defect Models J Jiarpakdee, C Tantithamthavorn, AE Hassan IEEE Transactions on Software Engineering (TSE), 2019 | 121* | 2019 |
Practitioners’ perceptions of the goals and visual explanations of defect prediction models J Jiarpakdee, CK Tantithamthavorn, J Grundy 2021 IEEE/ACM 18th International Conference on Mining Software Repositories …, 2021 | 79 | 2021 |
Autospearman: Automatically Mitigating Correlated Software Metrics for Interpreting Defect Models J Jiarpakdee, C Tantithamthavorn, C Treude IEEE International Conference on Software Maintenance and Evolution (ICSME …, 2018 | 79* | 2018 |
The Impact of Automated Feature Selection Techniques on the Interpretation of Defect Models J Jiarpakdee, C Tantithamthavorn, C Treude Empirical Software Engineering (EMSE), 0 | 73* | |
Explainable ai for software engineering CK Tantithamthavorn, J Jiarpakdee 2021 36th IEEE/ACM International Conference on Automated Software …, 2021 | 72 | 2021 |
Pyexplainer: Explaining the predictions of just-in-time defect models C Pornprasit, C Tantithamthavorn, J Jiarpakdee, M Fu, P Thongtanunam 2021 36th IEEE/ACM International Conference on Automated Software …, 2021 | 69 | 2021 |
JITBot: an explainable just-in-time defect prediction bot C Khanan, W Luewichana, K Pruktharathikoon, J Jiarpakdee, ... Proceedings of the 35th IEEE/ACM international conference on automated …, 2020 | 54 | 2020 |
SQAPlanner: Generating data-informed software quality improvement plans D Rajapaksha, C Tantithamthavorn, J Jiarpakdee, C Bergmeir, J Grundy, ... IEEE Transactions on Software Engineering 48 (8), 2814-2835, 2021 | 46 | 2021 |
A Study of Redundant Metrics in Defect Prediction Datasets J Jiarpakdee, C Tantithamthavorn, A Ihara, K Matsumoto IEEE International Symposium on Software Reliability Engineering Workshops …, 2016 | 37 | 2016 |
Actionable analytics: Stop telling me what it is; please tell me what to do C Tantithamthavorn, J Jiarpakdee, J Grundy IEEE Software 38 (4), 115-120, 2021 | 30 | 2021 |
Search-based fairness testing for regression-based machine learning systems A Perera, A Aleti, C Tantithamthavorn, J Jiarpakdee, B Turhan, L Kuhn, ... Empirical Software Engineering 27 (3), 79, 2022 | 25 | 2022 |
Understanding Question Quality through Affective Aspect in Q&A Site J Jiarpakdee, A Ihara, K Matsumoto International Workshop on Emotion Awareness in Software Engineering …, 2016 | 18 | 2016 |
Emergency medicine patient wait time multivariable prediction models: a multicentre derivation and validation study K Walker, J Jiarpakdee, A Loupis, C Tantithamthavorn, K Joe, M Ben-Meir, ... Emergency Medicine Journal 39 (5), 386-393, 2022 | 13 | 2022 |
Towards a More Reliable Interpretation of Defect Models J Jiarpakdee IEEE/ACM International Conference on Software Engineering: Companion …, 2019 | 6 | 2019 |
Predicting ambulance patient wait times: a multicenter derivation and validation study KJ Walker, J Jiarpakdee, A Loupis, C Tantithamthavorn, K Joe, ... Annals of Emergency Medicine 78 (1), 113-122, 2021 | 5 | 2021 |
Artefact: An R Implementation of the AutoSpearman Function J Jiarpakdee, C Tantithamthavorn, C Treude IEEE International Conference on Software Maintenance and Evolution (ICSME …, 2018 | 4 | 2018 |
Adaptive learning ant colony optimization for web spam detection B Manaskasemsak, J Jiarpakdee, A Rungsawang Computational Science and Its Applications–ICCSA 2014: 14th International …, 2014 | 3 | 2014 |
Towards Explainable Software Defect Prediction Models to Support SQA Planning J Jiarpakdee Monash University, 2021 | | 2021 |