Establishing Key Performance Indicators for Measuring Software-Development Processes at a Large Organization

Cem Sürücü, Bianying Song, Jacob Krüger, Gunter Saake, Thomas Leich

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

5 Citations (Scopus)

Abstract

Developing software systems in large organizations requires the cooperation of various organizational units and stakeholders. As software-development processes are distributed among such organizational units; and are constantly transformed to fulfill new domain regulations, address changing customer requirements, or adopt new software-engineering methods; it is challenging to ensure, measure, and steer—essentially monitor—the quality of the resulting systems. One means to facilitate such monitoring throughout whole software-development processes are key performance indicators, which provide a consolidated analysis of an organizations’ performance. However, it is also challenging to introduce key performance indicators for the software development of a large organization, as they must be implemented at and accepted by all relevant organizational units. In this paper, we report our experiences of introducing new key performance indicators for software-development processes at Volkswagen Financial Services AG, a large organization in the financial sector. We describe i) our methodology; ii) how we customized and use key performance indicators; iii) benefits achieved, namely improved monitoring and comparability, which help to define quality-improving actions; iv) and six lessons learned. These insights are helpful for other practitioners, providing an overview of a methodology they can adopt to assess the feasibility of key performance indicators as well as their benefits. Moreover, we hope to motivate research to investigate methods for introducing and monitoring key performance indicators to facilitate their adoption.
Original languageEnglish
Title of host publicationESEC/FSE 2020 - Proceedings of the 28th ACM Joint Meeting European Software Engineering Conference and Symposium on the Foundations of Software Engineering
EditorsPrem Devanbu, Myra Cohen, Thomas Zimmermann
PublisherAssociation for Computing Machinery, Inc
Pages1331-1341
Number of pages11
ISBN (Electronic)9781450370431
DOIs
Publication statusPublished - 8 Nov 2020

Bibliographical note

DBLP License: DBLP's bibliographic metadata records provided through http://dblp.org/ are distributed under a Creative Commons CC0 1.0 Universal Public Domain Dedication. Although the bibliographic metadata records are provided consistent with CC0 1.0 Dedication, the content described by the metadata records is not. Content may be subject to copyright, rights of privacy, rights of publicity and other restrictions.

Keywords

  • Key Performance Indicators
  • Quality Assurance
  • Monitoring
  • Quality assurance
  • Key performance indicators

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  • Using Key Performance Indicators to Compare Software-Development Processes

    Sürücü, C., Song, B., Krüger, J., Saake, G. & Leich, T., 2021, Software Engineering 2021 - Fachtagung des GI-Fachbereichs Softwaretechnik. Koziolek, A., Schaefer, I. & Seidl, C. (eds.). Gesellschaft für Informatik e.V. (GI), p. 105-106 2 p. (Lecture Notes in Informatics (LNI), Proceedings - Series of the Gesellschaft fur Informatik (GI); vol. P-310).

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

    Open Access
    1 Citation (Scopus)

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