NDLI: On the influence of maintenance activity types on the issue resolution time

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On the influence of maintenance activity types on the issue resolution time

Content Provider	ACM Digital Library
Author	Ortu, Marco Marchesi, Michele Murgia, Alessandro Concas, Giulio Tonelli, Roberto Demeyer, Serge
Abstract	The ISO/IEC 14764 standard specifies four types of software maintenance activities spanning the different motivations that software engineers have while performing changes to an existing software system. Undoubtedly, this classification has helped in organizing the workflow within software projects, however for planning purposes the relative time differences for the respective tasks remains largely unexplored. In this empirical study, we investigate the influence of the maintenance type on issue resolution time. From GitHub's issue repository, we analyze more than 14000 issue reports taken from 34 open source projects and classify them as corrective, adaptive, perfective or preventive maintenance. Based on this data, we show that the issue resolution time depends on the maintenance type. Moreover, we propose a statistical model to describe the distribution of the issue resolution time for each type of maintenance activity. Finally, we demonstrate the usefulness of this model for scheduling the maintenance workload.
Starting Page	12
Ending Page	21
Page Count	10
File Format	PDF
ISBN	9781450328982
DOI	10.1145/2639490.2639506
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2014-09-17
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Software maintenance Empirical software engineering Issue resolution-time Issue repository
Content Type	Text
Resource Type	Article

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