Weka meets TraceLab: Toward convenient classification: Machine learning for requirements engineering problems: A position paper

Jane Huffman Hayes, Wenbin Li, Mona Rahimi

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

16 Scopus citations

Abstract

Requirements engineering encompasses many difficult, overarching problems inherent to its subareas of process, elicitation, specification, analysis, and validation. Requirements engineering researchers seek innovative, effective means of addressing these problems. One powerful tool that can be added to the researcher toolkit is that of machine learning. Some researchers have been experimenting with their own implementations of machine learning algorithms or with those available as part of the Weka machine learning software suite. There are some shortcomings to using 'one off' solutions. It is the position of the authors that many problems exist in requirements engineering that can be supported by Weka's machine learning algorithms, specifically by classification trees. Further, the authors posit that adoption will be boosted if machine learning is easy to use and is integrated into requirements research tools, such as TraceLab. Toward that end, an initial concept validation of a component in TraceLab is presented that applies the Weka classification trees. The component is demonstrated on two different requirements engineering problems. Finally, insights gained on using the TraceLab Weka component on these two problems are offered.

Original languageEnglish
Title of host publication2014 IEEE 1st International Workshop on Artificial Intelligence for Requirements Engineering, AIRE 2014 - Proceedings
Pages9-12
Number of pages4
ISBN (Electronic)9781479963553
DOIs
StatePublished - 2014
Event2014 IEEE 1st International Workshop on Artificial Intelligence for Requirements Engineering, AIRE 2014 - Proceedings - Karlskrona, Sweden
Duration: Aug 26 2014Aug 26 2014

Publication series

Name2014 IEEE 1st International Workshop on Artificial Intelligence for Requirements Engineering, AIRE 2014 - Proceedings

Conference

Conference2014 IEEE 1st International Workshop on Artificial Intelligence for Requirements Engineering, AIRE 2014 - Proceedings
Country/TerritorySweden
CityKarlskrona
Period8/26/148/26/14

Bibliographical note

Publisher Copyright:
© 2014 IEEE.

Keywords

  • Artificial intelligence
  • TraceLab
  • Weka
  • classification
  • decision trees
  • machine learning
  • requirements engineering

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Software
  • Artificial Intelligence
  • Modeling and Simulation

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