Abstract
Estimating the effort on software maintenance activities is a complex task. When inaccurately accomplished, effort estimation can reduce the quality and hinder software delivery. In a scenario, in which the maintenance and evolution activities are geographically distributed, collaboration is a key issue to estimate and meet deadlines. In this vein, dealing with reputation of developers, as well as establish and promote trust among them, are factors that affect collaboration activities. This paper presents an approach aimed to support effort estimation on collaborative maintenance and evolution activities. It encompasses a model for reputation calculation, visualization elements and the integration with change request repositories. Through an experimental study, quantitative and qualitative data was collected. A statistical analysis was applied and shown that the AD-Reputation is feasible to estimate the effort spent on collaborative maintenance activities.
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To CAPES, FAPEMIG and CNPq for financial support, and partner company for the availability of data and participation in research.
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Lélis, C.A.S., Miguel, M.A., Araújo, M.A.P., David, J.M.N., Braga, R. (2018). AD-Reputation: A Reputation-Based Approach to Support Effort Estimation. In: Latifi, S. (eds) Information Technology - New Generations. Advances in Intelligent Systems and Computing, vol 558. Springer, Cham. https://doi.org/10.1007/978-3-319-54978-1_78
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DOI: https://doi.org/10.1007/978-3-319-54978-1_78
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