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Erschienen in:
Performance Enhancement of OMP Algorithm for Compressed Sensing Based Sparse Channel Estimation in OFDM Systems Kapitel lesen Erstes Kapitel lesen

2018 | OriginalPaper | Buchkapitel

78. AD-Reputation: A Reputation-Based Approach to Support Effort Estimation

verfasst von : Cláudio A. S. Lélis, Marcos A. Miguel, Marco Antônio P. Araújo, José Maria N. David, Regina Braga

Erschienen in: Information Technology - New Generations

Verlag: Springer International Publishing

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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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Vorheriges Kapitel On the Impact of Product Quality Attributes on Open Source Project Evolution
Nächstes Kapitel Pmbench: A Micro-Benchmark for Profiling Paging Performance on a System with Low-Latency SSDs
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Metadaten
Titel
AD-Reputation: A Reputation-Based Approach to Support Effort Estimation
verfasst von
Cláudio A. S. Lélis
Marcos A. Miguel
Marco Antônio P. Araújo
José Maria N. David
Regina Braga
Copyright-Jahr
2018
Buch
Information Technology - New Generations

Print ISBN: 978-3-319-54977-4

Electronic ISBN: 978-3-319-54978-1

Copyright-Jahr: 2018

DOI
https://doi.org/10.1007/978-3-319-54978-1_78