Making the leap to a software platform strategy: Issues and challenges

Context: While there are many success stories of achieving high reuse and improved quality using software platforms, there is a need to investigate the issues and challenges organizations face when transitioning to a software platform strategy. Objective: This case study provides a comprehensive taxonomy of the challenges faced when a medium-scale organization decided to adopt software platforms. The study also reveals how new trends in software engineering (i.e. agile methods, distributed development and flat management structures) interplayed with the chosen platform strategy. Method: We used an ethnographic approach to collect data by spending time at a medium-scale company in Scandinavia. We conducted 16 in-depth interviews with representatives of eight different teams, three of which were working on three separate platforms. The collected data was analyzed using Grounded Theory. Results: The findings identify four classes of challenges, namely: business challenges, organizational challenges, technical challenges, and people challenges. The article explains how these findings can be used to help researchers and practitioners identify practical solutions and required tool support. Conclusion: The organization’s decision to adopt a software platform strategy introduced a number of challenges. These challenges need to be understood and addressed in order to reap the benefits of reuse. Researchers need to further investigate issues such as supportive organizational structures for platform development, the role of agile methods in software platforms, tool support for testing and continuous integration in the platform context, and reuse recommendation systems.

💡 Research Summary

The paper investigates the practical difficulties encountered by a medium‑sized Scandinavian company when it decided to shift from a product‑centric development approach to a software platform strategy. While the literature is rich with success stories about reuse and quality gains, there is a notable gap concerning the concrete challenges that arise during the transition. To fill this gap, the authors conducted an ethnographic case study, spending several weeks on site and interviewing sixteen individuals from eight different development teams, three of which were dedicated to distinct platform initiatives. The data were analyzed using Grounded Theory, allowing the researchers to move from open coding to the emergence of a theoretical taxonomy.

Four broad categories of challenges emerged: business, organizational, technical, and people‑related. Business challenges include conflicts between existing product revenue models and the new platform’s monetization strategy, uncertainty about return on investment, and delayed strategic decisions from senior management. Organizational challenges revolve around the lack of a dedicated platform governance unit, power struggles between legacy product teams and the nascent platform group, decision‑making bottlenecks in a flat hierarchy, and insufficient formal processes for platform evolution. Technical challenges are dominated by the complexity of designing reusable core components, difficulties in establishing robust version‑control and continuous‑integration pipelines that can serve multiple product lines, the pressure to accommodate heterogeneous domain requirements, and a shortage of tooling for automated testing and integration in a multi‑team context. People challenges encompass resistance from developers who are accustomed to product‑specific coding, misalignment between short‑term agile sprint cycles and the long‑term roadmap required for platform stability, inadequate knowledge‑sharing mechanisms, and the scarcity of staff with deep platform‑engineering expertise.

A salient insight is the tension between agile practices and platform development. Agile methods promote rapid, incremental delivery, whereas platforms demand long‑term architectural foresight and stability. The study shows that teams often experience schedule conflicts when trying to satisfy both sprint goals and platform milestones. Distributed development further exacerbates these issues, as teams must agree on interface contracts and rely on automated testing, yet the existing toolchain does not fully support such coordination. Moreover, the flat management structure, while encouraging open communication, tends to blur accountability, weakening platform governance and making it harder to enforce standards across teams.

The authors argue that recognizing and explicitly addressing these intertwined challenges is essential for any organization seeking the promised benefits of reuse. They propose several actionable recommendations: (1) establish a dedicated platform governance body with clear authority; (2) adopt a hybrid process model that integrates agile sprint planning with a higher‑level platform roadmap; (3) invest in CI/CD infrastructure and testing frameworks tailored to multi‑team, multi‑product environments; and (4) develop intelligent reuse recommendation systems to aid developers in identifying suitable platform components. Finally, the paper outlines future research directions, calling for deeper exploration of supportive organizational structures, mechanisms for aligning agile and platform timelines, and the design and empirical evaluation of platform‑specific tooling.