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ORCIDPROMISE 2014: Torino, Italy
- Stefan Wagner, Massimiliano Di Penta:
The 10th International Conference on Predictive Models in Software Engineering, PROMISE '14, Torino, Italy, September 17, 2014. ACM 2014, ISBN 978-1-4503-2898-2 - Audris Mockus:
Defect prediction and software risk. 1
Defects and issues
- Barbara Russo
:
A proposed method to evaluate and compare fault predictions across studies. 2-11 - Alessandro Murgia, Giulio Concas, Roberto Tonelli, Marco Ortu, Serge Demeyer, Michele Marchesi:
On the influence of maintenance activity types on the issue resolution time. 12-21 - Rakesh Rana, Miroslaw Staron, Christian Berger, Jörgen Hansson, Martin Nilsson:
Analysing defect inflow distribution of automotive software projects. 22-31
Effort estimation
- Boyce Sigweni, Martin J. Shepperd:
Feature weighting techniques for CBR in software effort estimation studies: a review and empirical evaluation. 32-41 - Filomena Ferrucci, Carmine Gravino, Federica Sarro:
Exploiting prior-phase effort data to estimate the effort for the subsequent phases: a further assessment. 42-51 - Liyan Song, Leandro L. Minku, Xin Yao:
The potential benefit of relevance vector machine to software effort estimation. 52-61
Reviews and benchmarks on software prediction
- Nikolaos Mittas, Vagia Karpenisi, Lefteris Angelis:
Benchmarking effort estimation models using archetypal analysis. 62-71 - Igor Scaliante Wiese, Filipe Roseiro Côgo, Reginaldo Ré, Igor Steinmacher, Marco Aurélio Gerosa:
Social metrics included in prediction models on software engineering: a mapping study. 72-81 - Muhammad Usman, Emilia Mendes, Frâncila Weidt Neiva, Ricardo Britto:
Effort estimation in agile software development: a systematic literature review. 82-91
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