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Miscommunication in Software Projects: Early Recognition Through Tendency Forecasts

Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

Abstract

Efficient team communication is essential for software project success. Misunderstood or underestimated demands on customer requirements and insufficient information sharing within a team can rapidly cause the delay of software releases, hamper customer satisfaction or even endanger the project succeed. The challenges remain to quantify the right amount of communication according to durations, necessary effort, and the ambitions to avoid firefighting situations. Especially newly build or less experienced teams often struggle with their information flow. To improve team communication performances for these teams, we build an experience based classifier model that interpolates tendency forecasts with five approved team communication metrics from related work. The model matches archival project communications with present team conditions and computes tendency forecasts for the ongoing project. These future trends can indicate critical communication conditions right from early phases. Hence, they can reduce risks of miscommunication during a project.

Original languageEnglish
Title of host publicationProduct-Focused Software Process Improvement - 17th International Conference, PROFES 2016, Proceedings
EditorsSousuke Amasaki, Tommi Mikkonen, Michael Felderer, Pekka Abrahamsson, Anh Nguyen Duc, Andreas Jedlitschka
Place of PublicationCham
PublisherSpringer International Publishing AG
Pages731-738
Number of pages8
ISBN (Print)9783319490939
DOIs
Publication statusPublished - 2016

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10027 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Keywords

  • Experience-base
  • Machine learning
  • Team communication

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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