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Lightweight Software Process Improvement Using Productivity and Sustainability Improvement Planning (PSIP)

Communications in Computer and Information Science

Heroux, Michael A.; Gonsiorowski, Elsa; Gupta, Rinku; Milewicz, Reed M.; Moulton, J.D.; Watson, Gregory R.; Willenbring, James M.; Zamora, Richard J.; Raybourn, Elaine M.

Productivity and Sustainability Improvement Planning (PSIP) is a lightweight, iterative workflow that allows software development teams to identify development bottlenecks and track progress to overcome them. In this paper, we present an overview of PSIP and how it compares to other software process improvement (SPI) methodologies, and provide two case studies that describe how the use of PSIP led to successful improvements in team effectiveness and efficiency.

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Characterizing the roles of contributors in open-source scientific software projects

IEEE International Working Conference on Mining Software Repositories

Milewicz, Reed M.; Pinto, Gustavo; Rodeghero, Paige

The development of scientific software is, more than ever, critical to the practice of science, and this is accompanied by a trend towards more open and collaborative efforts. Unfortunately, there has been little investigation into who is driving the evolution of such scientific software or how the collaboration happens. In this paper, we address this problem. We present an extensive analysis of seven open-source scientific software projects in order to develop an empirically-informed model of the development process. This analysis was complemented by a survey of 72 scientific software developers. In the majority of the projects, we found senior research staff (e.g. professors) to be responsible for half or more of commits (an average commit share of 72%) and heavily involved in architectural concerns (seniors were more likely to interact with files related to the build system, project meta-data, and developer documentation). Juniors (e.g. graduate students) also contribute substantially - in one studied project, juniors made almost 100% of its commits. Still, graduate students had the longest contribution periods among juniors (with 1.72 years of commit activity compared to 0.98 years for postdocs and 4 months for undergraduates). Moreover, we also found that third-party contributors are scarce, contributing for just one day for the project. The results from this study aim to help scientists to better understand their own projects, communities, and the contributors' behavior, while paving the road for future software engineering research.

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Position paper: Towards usability as a first-class quality of HPC scientific software

Proceedings - 2019 IEEE/ACM 14th International Workshop on Software Engineering for Science, SE4Science 2019

Milewicz, Reed M.; Rodeghero, Paige

The modern HPC scientific software ecosystem is instrumental to the practice of science. However, software can only fulfill that role if it is readily usable. In this position paper, we discuss usability in the context of scientific software development, how usability engineering can be incorporated into current practice, and how software engineering research can help satisfy that objective.

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How Remote Work Can Foster a More Inclusive Environment for Transgender Developers

Proceedings - 2019 IEEE/ACM 2nd International Workshop on Gender Equality in Software Engineering, GE 2019

Ford, Denae; Milewicz, Reed M.; Serebrenik, Alexander

In this position paper, we claim that remote work offers a mechanism of control for identity disclosure and empowerment of software developers from marginalized communities. By talking to several transgender software developers we identified three themes that resonate across the trans experience and intersect with the advantages to working in software development remotely: identity disclosure, high-impact technical work and the autonomy to disengage and re-engage. Based on these themes we identify several open questions that the research community should address.

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Talk to me: A case study on coordinating expertise in large-scale scientific software projects

Proceedings - IEEE 14th International Conference on eScience, e-Science 2018

Milewicz, Reed M.; Raybourn, Elaine M.

Large-scale collaborative scientific software projects require more knowledge than any one person typically possesses. This makes coordination and communication of knowledge and expertise a key factor in creating and safeguarding software quality, without which we cannot have sustainable software. However, as researchers attempt to scale up the production of software, they are confronted by problems of awareness and understanding. This presents an opportunity to develop better practices and tools that directly address these challenges. To that end, we conducted a case study of developers of the Trilinos project. We surveyed the software development challenges addressed and show how those problems are connected with what they know and how they communicate. Based on these data, we provide a series of practicable recommendations, and outline a path forward for future research.

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Results 26–43 of 43
Results 26–43 of 43