TY - GEN
T1 - Establishing Key Performance Indicators for Measuring Software-Development Processes at a Large Organization
AU - Sürücü, Cem
AU - Song, Bianying
AU - Krüger, Jacob
AU - Saake, Gunter
AU - Leich, Thomas
N1 - 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.
PY - 2020/11/8
Y1 - 2020/11/8
N2 - 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.
AB - 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.
KW - Key Performance Indicators
KW - Quality Assurance
KW - Monitoring
KW - Quality assurance
KW - Key performance indicators
UR - http://www.scopus.com/inward/record.url?scp=85097130097&partnerID=8YFLogxK
U2 - 10.1145/3368089.3417057
DO - 10.1145/3368089.3417057
M3 - Conference contribution
SP - 1331
EP - 1341
BT - ESEC/FSE 2020 - Proceedings of the 28th ACM Joint Meeting European Software Engineering Conference and Symposium on the Foundations of Software Engineering
A2 - Devanbu, Prem
A2 - Cohen, Myra
A2 - Zimmermann, Thomas
PB - Association for Computing Machinery, Inc
ER -