DOI

Software testing is essential for any software development process, representing an extremely expensive activity. Despite its importance recent studies showed that developers rarely test their application and most programming sessions end without any test execution. Indeed, new methods and tools able to better allocating the developers effort are needed to increment the system reliability and to reduce the testing costs. In this work we focus on three activities able to optimize testing activities, specifically, bug prediction, test case prioritization, and energy leaks detection. Indeed, despite the effort devoted in the last decades by the research community led to interesting results, we highlight some aspects that might be improved and propose empirical investigations and novel approaches. Finally, we provide a set of open issues that should be addressed by the research community in the future.
Original languageEnglish
Title of host publicationProceedings - 2018 IEEE International Conference on Software Maintenance and Evolution, ICSME 2018
PublisherIEEE
Pages722-726
Number of pages5
ISBN (Electronic)978-1-5386-7870-1
ISBN (Print)978-1-5386-7870-1
DOIs
Publication statusPublished - 9 Nov 2018
Event34th IEEE International Conference on Software Maintenance and Evolution - Madrid, Spain
Duration: 23 Sep 201829 Sep 2018
Conference number: 34
https://icsme2018.github.io/

Publication series

Name2018 IEEE International Conference on Software Maintenance and Evolution (ICSME)

Conference

Conference34th IEEE International Conference on Software Maintenance and Evolution
Abbreviated titleICSME
CountrySpain
CityMadrid
Period23/09/1829/09/18
Internet address

    Research areas

  • Bug Prediction, Energy Efficiency, Test Case Prioritization, Testing

ID: 39239067