TY  - CHAP
U1  - Konferenzveröffentlichung
A1  - Bogner, Justus
A1  - Wagner, Stefan
A1  - Zimmermann, Alfred
T1  - Automatically measuring the maintainability of service- and microservice-based systems – a literature review
T2  - IWSM Mensura '17 : proceedings of the 27th International Workshop on Software Measurement and 12th International Conference on Software Process and Product Measurement, Gothenburg, Sweden, October 25-27, 2017
N2  - In a time of digital transformation, the ability to quickly and efficiently adapt software systems to changed business requirements becomes more important than ever. Measuring the maintainability of software is therefore crucial for the long-term management of such products. With service-based systems (SBSs) being a very important form of enterprise software, we present a holistic overview of such metrics specifically designed for this type of system, since traditional metrics – e.g. object oriented ones – are not fully applicable in this case. The selected metric candidates from the literature review were mapped to 4 dominant design properties: size, complexity, coupling, and cohesion. Microservice-based systems (μSBSs) emerge as an agile and fine grained variant of SBSs. While the majority of identified metrics are also applicable to this specialization (with some limitations), the large number of services in combination with technological heterogeneity and decentralization of control significantly impacts automatic metric collection in such a system. Our research therefore suggests that specialized tool support is required to guarantee the practical applicability of the presented metrics to μSBSs.
KW  - maintainability
KW  - metrics
KW  - SOA
KW  - service-based systems
KW  - microservices
Y1  - 2017
SN  - 978-1-4503-4853-9
SB  - 978-1-4503-4853-9
U6  - https://doi.org/10.1145/3143434.3143443
DO  - https://doi.org/10.1145/3143434.3143443
SP  - 9
S1  - 9
PB  - Association for Computing Machinery
CY  - New York, NY
ER  -