Showing results 16 to 35 of 45
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Issue Date | Title | Author(s) |
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 |
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 |
2016 | An investigation of feature weighting algorithms and validation techniques using blind analysis for analogy-based estimation | Sigweni, Boyce B. |
2011 | New ideas and emerging research: evaluating prediction system accuracy | Shepperd, M |
20-Jul-2019 | A novel aggregation-based dominance for Pareto-based evolutionary algorithms to configure software product lines | Xue, Y; Li, M; Shepperd, M; Lauria, S; Liu, X |
27-May-2018 | Poster: Bridging effort-Aware prediction and strong classification: A just-in-Time software defect prediction study | Guo, Y; Shepperd, M; Li, N |
2011 | Predicting software project effort: A grey relational analysis based method | Song, Q; Shepperd, M |
2019 | The Prevalence of Errors in Machine Learning Experiments | Shepperd, M; Guo, Y; Li, N; Arzoky, M; Capiluppi, A; Counsell, S; Destefanis, G; Swift, S; Tucker, A; Yousefi, L |