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A Survey on Code Analysis Tools for Software Maintenance Prediction

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Details

Original languageEnglish
Title of host publicationSEDA 2018
Subtitle of host publicationProceedings of 6th International Conference in Software Engineering for Defence Applications
PublisherSpringer
Pages165-175
ISBN (Electronic)978-3-030-14687-0
ISBN (Print)978-3-030-14686-3
DOIs
Publication statusPublished - Jun 2018
Publication typeA4 Article in a conference publication
EventInternational Conference on Software Engineering for Defence Applications - Rome, Rome, Italy
Duration: 7 Jun 20188 Jun 2018

Publication series

NameAdvances in Intelligent Systems and Computing
Volume925
ISSN (Print)2194-5357
ISSN (Electronic)2194-5365

Conference

ConferenceInternational Conference on Software Engineering for Defence Applications
CountryItaly
CityRome
Period7/06/188/06/18

Abstract

Software maintenance is a widely studied area of software engineering that it is particularly important in safety-critical and mission-critical applications where defects may have huge impact and code needs to be checked carefully through the analysis of data collected using a number of tools developed to investigate specific aspects. However, such tools are often not available to practitioners preventing them from applying the most recent and advanced approaches to industrial projects. This paper is an initial investigation about code analysis tools used to perform research studies on software maintenance prediction. We focus on the identification of tools that are available and can be used by practitioners to apply the same maintenance approaches described in published academic papers.

Publication forum classification

Field of science, Statistics Finland

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