SEOct 28, 2016

Software Architecture Decision-Making Practices and Challenges: An Industrial Case Study

arXiv:1610.09240v129 citations
Originality Synthesis-oriented
AI Analysis

This addresses the problem of limited adoption of systematic decision-making methods for software architects in industry, though it is incremental as it builds on existing research with new empirical insights.

The paper studied software architecture decision-making practices in industry through a case study with architects in three European companies, identifying current practices, challenges, and improvements, and concluded that better knowledge management could address most challenges.

Software architecture decision-making is critical to the success of a software system as software architecture sets the structure of the system, determines its qualities, and has far-reaching consequences throughout the system life cycle. The complex nature of the software development context and the importance of the problem has led the research community to develop several techniques, tools, and processes to assist software architects in making better decisions. Despite these effort, the adoption of such systematic approaches appears to be quite limited in practice. In addition, the practitioners are also facing new challenges as different software development methods suggest different approaches for architecture design. In this paper, we study the current software architecture decision-making practices in the industry using a case study conducted among professional software architects in three different companies in Europe. As a result, we identified different software architecture decision-making practices followed by the software teams as well as their reasons for following them, the challenges associated with them, and the possible improvements from the software architects' point of view. Based on that, we recognized that improving software architecture knowledge management can address most of the identified challenges and would result in better software architecture decision-making.

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