Extreme programming explained: embrace change
Extreme programming explained: embrace change
When Software Engineers Met Research Scientists: A Case Study
Empirical Software Engineering
Moving beyond user participation to achieve successful IS design
Communications of the ACM
Developing Scientific Software
IEEE Software
Dealing with Risk in Scientific Software Development
IEEE Software
Kadre: domain-specific architectural recovery for scientific software systems
Proceedings of the IEEE/ACM international conference on Automated software engineering
Scientific End-User Developers and Barriers to User/Customer Engagement
Journal of Organizational and End User Computing
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In this paper, I discuss two types of challenges facing software engineers as they develop software for scientists. The first type is those challenges that arise from the experience that scientists might have of developing their own software. From this experience, they internalise a model of software development but may not realise the contextual factors which make such a model successful. They thus have expectations and assumptions which prove challenging to software engineers. The second type is those challenges which, while not unique to the development of software for scientists, have especial significance in the context of such development. These include the challenges of ensuring effective user engagement and of developing software for a community.