Software Product System Model: A Customer-Value Oriented, Adaptable, DevOps-Based Product Model

被引:5
作者
Haluk Altunel
Bilge Say
机构
[1] Softtech Inc., Ankara
[2] Department of Computer Engineering, Bilkent University, Ankara
[3] Department of Software Engineering, Atilim University, Ankara
关键词
Customer value; DevOps; Software attributes; Software metrics; Software product management; Software Product System Model; Systems thinking;
D O I
10.1007/s42979-021-00899-9
中图分类号
学科分类号
摘要
DevOps pipelines have brought notable advantages, such as fast and frequent software delivery to software production paradigms, but dynamically dealing with quality attributes desired by the customer employing a DevOps pipeline remains a challenge. This work aims to define the design of a systems thinking inspired model, called Software Product System Model (SPSM), applying a customer-value oriented, holistic approach for implementing quality requirements, and its application and evaluation in a large software house. The main features include dynamic control of quality gates, the parameters of which are driven by customer requirements and feedback from surveys. All of the inputs are collected in a product backlog and fed forward to the quality gates over the DevOps pipeline. SPSM was successfully deployed in a large software house extending a DevOps pipeline with an accompanying improvement of customer-value oriented key performance indicators for projects. In a 2-year-long case study, security and code quality were the main quality attributes, with the metrics on security vulnerabilities and unit test coverage. At the end of the 2020, the DevOps pipeline within SPSM provided a 69.50% decrease of security vulnerabilities of all software products, and a 29.43% increase in unit test coverage for the whole code base for increasing code quality. At the end of 2020, the project completion ratio was measured to be 99.50% and the Schedule Performance Index (SPI) was measured to be 99.78% as the average of 762 projects delivered. The flexibility of SPSM allowed the software house to adapt to changing customer expectations. A checklist is provided for the replicability of the model application. © The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd 2021.
引用
收藏
相关论文
共 39 条
[1]  
Leite L., Rocha C., Kon F., Milojicic D., Meirelles P., A survey of DevOps concepts and challenges, ACM Comput Surv, (2019)
[2]  
Ebert C., Gallardo G., Hernantes J., Serrano N., DevOps, IEEE Softw, 33, 3, pp. 94-100, (2016)
[3]  
Kittlaus H., Samuel A.F., Software product management, (2017)
[4]  
Altunel H., Agile project management in product life cycle, Int J Inf Technol Proj Manag, 8, 2, pp. 50-63, (2017)
[5]  
Bolscher R., Daneva M., Designing software architecture to support continuous delivery and DevOps: a systematic literature review, Proceedings of the 14th international conference on software technologies (ICSOFT)
[6]  
, pp. 27-39, (2019)
[7]  
Kersten M., A cambrian explosion of DevOps tools, IEEE Ann Hist Comput, 35, 2, pp. 14-17, (2018)
[8]  
Lwakatare L.E., Kilamo T., Karvonen T., Sauvola T., Heikkila V., Itkonen J., Kuvaja P., Mikkonen T., Oivo M., Lassenius C., DevOps in practice: a multiple case study of five companies, Inf Softw Technol, 114, pp. 217-230, (2019)
[9]  
Badshah S., Khan A.A., Khan B., Towards process improvement in DevOps: a systematic literature review. In: EASE’20: 24th International conference on evaluation and assessment in software engineering 2020, April 15–17, (2020)
[10]  
Cespedes D., Angeleri P., Melendez K., Davila A., Software product quality in DevOps contexts: a systematic literature review. In: Trends and applications in software engineering. CIMPS 2019, Adv Intell Syst Comput, 3, pp. 51-64, (2020)