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Aspects of Replayability and Software Engineering: Towards a Methodology of Developing Games

Journal of Software Engineering and Applications 2012年第7期5卷 459-466页

作者： Joseph Krall tim menzies Lane Department of Computer Science & Electrical Engineering West Virginia University Morgantown USA

One application of software engineering is the vast and widely popular video game entertainment industry. Success of a video game product depends on how well the player base receives it. Of research towards understanding factors of success behind releasing a video game, we are interested in studying a factor known as Replayability. Towards a software engineering oriented game design methodology, we collect player opinions on Replayability via surveys and provide methods to analyze the data. We believe these results can help game designers to more successfully produce entertaining games with longer lasting appeal by utilizing our software engineering techniques.

关键词： Games Entertainment Design Software Engineering Replayability

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Explanation vs Performance in Data Mining: A Case Study with Predicting Runaway Projects

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Journal of Software Engineering and Applications 2009年第4期2卷 221-236页

作者： tim menzies Osamu MIZUNO Yasunari TAKAGI Tohru KIKUNO 不详

Often, the explanatory power of a learned model must be traded off against model performance. In the case of predict-ing runaway software projects, we show that the twin goals of high performance and good explanatory power are achievable after applying a variety of data mining techniques (discrimination, feature subset selection, rule covering algorithms). This result is a new high water mark in predicting runaway projects. Measured in terms of precision, this new model is as good as can be expected for our data. Other methods might out-perform our result (e.g. by generating a smaller, more explainable model) but no other method could out-perform the precision of our learned model.

关键词： Explanation Data Mining Runaway

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Case-Based Reasoning for Reducing Software Development Effort

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Journal of Software Engineering and Applications 2010年第11期3卷 1005-1014页

作者： Adam Brady tim menzies Oussama El-Rawas Ekrem Kocaguneli Jacky W. Keung 不详

How can we best find project changes that most improve project estimates? Prior solutions to this problem required the use of standard software process models that may not be relevant to some new project. Also, those prior solutions suffered from limited verification (the only way to assess the results of those studies was to run the recommendations back through the standard process models). Combining case-based reasoning and contrast set learning, the W system requires no underlying model. Hence, it is widely applicable (since there is no need for data to conform to some software process models). Also, W’s results can be verified (using holdout sets). For example, in the experiments reported here, W found changes to projects that greatly reduced estimate median and variance by up to 95% and 83% (respectively).

关键词： Software Effort Estimation Case Based Reasoning Effort Estimation

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软件数据分析的科学与艺术

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作者： (美)克里斯蒂安·伯德(Christian Bird) (美)蒂姆·孟席斯(tim menzies) (美)托马斯·齐默尔曼(Thomas Zimmermann)

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