Summarization of Elicitation Conversations to Locate Requirements-Relevant Information

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

Abstract

[Context and motivation] Conversations around requirements, such as interviews and workshops, are a key activity of requirements elicitation, and play a significant role in the creation of requirements specifications. [Question/problem] While these conversations contain a wealth of knowledge, requirements engineers use them mainly through note-taking during the conversation and by recalling the information from their memory. There is potential for supporting practitioners by retrieving important information from the recordings of these conversations. [Principal ideas/results] Although transcriptions can be automatically generated with good accuracy, they often contain excessive text to be efficiently used for processing requirements elicitation sessions. Thus, we observed a need to transform these datasets into a useful format for requirements engineers to analyze. [Contribution] We present RECONSUM, a prototype that utilizes Natural Language Processing (NLP) to summarize requirements conversations. RECONSUM takes as input a transcribed conversation, and it filters the speaker turns by keeping only those that include a question and that are expected to contain, or to be answered with, requirements-relevant information. In addition to presenting RECONSUM, we experiment with different algorithms to assess the most effective combination.
Original languageEnglish
Title of host publicationProceedings of the 29th International Working Conference on Requirements Engineering: Foundation for Software Quality (REFSQ 2023)
Subtitle of host publicationFoundation for Software Quality - 29th International Working Conference, REFSQ 2023, Proceedings
EditorsAlessio Ferrari, Birgit Penzenstadler
Pages122-139
Number of pages18
DOIs
Publication statusPublished - 2023

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume13975 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Bibliographical note

Funding Information:
We thank all the participants who acted as taggers. The use of the recorded and transcribed dataset is made possible thanks to the ethical Science-Geosciences Ethics Review Board of Utrecht University (case S-20339).

Publisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Keywords

  • Requirements Elicitation
  • Natural Language Processing
  • Conversational RE
  • Requirements-Relevant Information

Fingerprint

Dive into the research topics of 'Summarization of Elicitation Conversations to Locate Requirements-Relevant Information'. Together they form a unique fingerprint.

Cite this