Grouping Environmental Factors Influencing Individual Decision-Making Behavior in Software Projects: A Cluster Analysis
| Autor: | Jia, Jingdong, Mo, Hanlin, Capretz, Luiz Fernando, Chen, Zupeng |
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| Rok vydání: | 2017 |
| Předmět: | |
| Zdroj: | Journal of Software: Evolution and Process, Volume 29, Issue 10, Wiley, October 2017 |
| Druh dokumentu: | Working Paper |
| DOI: | 10.1002/smr.1913 |
| Popis: | An individual decision-making behavior is heavily influenced by and adapted to external environmental factors. Given that software development is a human-centered activity, individual decision-making behavior may affect the software project quality. Although environmental factors affecting decision-making behavior in software projects have been identified in prior literature, there is not yet an objective and a full taxonomy of these factors. Thus, it is not trivial to manage these complex and diverse factors. To address this deficiency, we first design a semantic similarity algorithm between words by utilizing the synonymy and hypernymy relationships in WordNet. Further, we propose a method to measure semantic similarity between phrases and apply it into k-means clustering algorithm to group these factors. Subsequently, we obtain a taxonomy of the environmental factors affecting individual decision-making behavior in software projects, which includes eleven broad categories, each containing two to five sub-categories. The taxonomy presented herein is obtained by an objective method, and quite comprehensive, with appropriate references provided. The taxonomy holds significant value for researchers and practitioners; it can help them to better understand the major aspects of environmental factors, also to predict and guide the behavior of individuals during decision making towards a successful completion of software projects. Comment: 15 pages |
| Databáze: | arXiv |
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