Showing results 12 to 31 of 48
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Issue Date | Title | Author(s) |
2021 | Effective and Efficient Evolutionary Many-Objective Optimization | Xue, Yani |
2003 | An empirical analysis of linear adaptation techniques for case-based prediction | Kirsopp, C; Mendes, E; Premraj, R; Shepperd, M |
2000 | An empirical investigation of an object-oriented software system | Cartwright, MH; Shepperd, M |
2009 | An empirical investigation of inheritance trends in JAVA OSS evolution | Nasseri, Emal |
2015 | Enhancing practice and achievement in introductory programming with a robot olympics | Scott, MJ; Counsell, S; Lauria, S; Swift, S; Tucker, A; Shepperd, M; Ghinea, G |
2015 | Enhancing Practice and Achievement in Introductory Programming With a Robot Olympics | Scott, MJ; Counsell, S; Lauria, S; Swift, S; Tucker, A; Shepperd, M; Ghinea, G |
2012 | Evaluating prediction systems in software project estimation | Shepperd, M; MacDonell, S |
2018 | An Experimental Evaluation of a De-biasing Intervention for Professional Software Developers | Shepperd, M; Mair, C; Jørgensen, M |
2016 | An external replication on the effects of test-driven development using a multi-site blind analysis approach | Fucci, D; Scanniello, G; Romano, S; Shepperd, M; Sigweni, B; Uyaguari, F; Turhan, B; Juristo, N; Oivo, M |
2014 | Feature weighting techniques for CBR in software effort estimation studies: A review and empirical evaluation | Sigweni, B; Shepperd, M |
2010 | Framework to manage labels for e-assessment of diagrams | Jayal, Ambikesh |
2011 | A general software defect-proneness prediction framework | Song, Q; Jia, Z; Shepperd, M; Ying, S; Liu, J |
2011 | Group project work from the outset: an in-depth teaching experience report | Shepperd, M |
2015 | How do i know whether to trust a research result? | Shepperd, M |
2014 | The impact of communication on trust in agile methods | Hasnian, Eisha |
17-Jun-2021 | The impact of using biased performance metrics on software defect prediction research | Yao, J; Shepperd, M |
18-Jun-2024 | Improving classifier-based effort-aware software defect prediction by reducing ranking errors | Guo, Y; Shepperd, M; Li, N |
2018 | Inferencing into the void: problems with implicit populations Comments on `Empirical software engineering experts on the use of students and professionals in experiments' | Shepperd, M |
2009 | Integrate the GM(1,1) and Verhulst models to predict software stage effort | Wang, Y; Song, Q; MacDonell, S; Shepperd, M; Shen, J |
2017 | The interlocutory tool box: techniques for curtailing coincidental correctness | Patel, Krishna |