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- W2020602307 endingPage "471" @default.
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- W2020602307 abstract "Software Engineering and development is well-known to suffer from unplanned overtime, which causes stress and illness in engineers and can lead to poor quality software with higher defects. In this paper, we introduce a multi-objective decision support approach to help balance project risks and duration against overtime, so that software engineers can better plan overtime. We evaluate our approach on 6 real world software projects, drawn from 3 organisations using 3 standard evaluation measures and 3 different approaches to risk assessment. Our results show that our approach was significantly better (p <; 0.05) than standard multi-objective search in 76% of experiments (with high Cohen effect size in 85% of these) and was significantly better than currently used overtime planning strategies in 100% of experiments (with high effect size in all). We also show how our approach provides actionable overtime planning results and investigate the impact of the three different forms of risk assessment." @default.
- W2020602307 created "2016-06-24" @default.
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- W2020602307 date "2013-05-18" @default.
- W2020602307 modified "2023-09-23" @default.
- W2020602307 title "Not going to take this anymore: multi-objective overtime planning for software engineering projects" @default.
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- W2020602307 doi "https://doi.org/10.5555/2486788.2486849" @default.
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