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MVP and experimentation in software startups: a qualitative survey
2020 46th Euromicro Conference on Software Engineering and Advanced Applications (SEAA), 2020The Lean Startup methodology disseminated the concept of MVP. Since then, the term has been used in several contexts aside startups with a blur definition. Practitioners name several artifacts as MVPs, such as prototypes or initial versions of a new product, rather than an instrument for experimentation.
Jorge Melegati +4 more
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Synthesizing qualitative research in software engineering
Proceedings of the 40th International Conference on Software Engineering, 2018Synthesizing data extracted from primary studies is an integral component of the methodologies in support of Evidence Based Software Engineering (EBSE) such as System Literature Review (SLR). Since a large and increasing number of studies in Software Engineering (SE) incorporate qualitative data, it is important to systematically review and understand ...
Xin Huang 0019 +4 more
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Scientific Software Development: Qualitative background for a model
2018 37th International Conference of the Chilean Computer Science Society (SCCC), 2018In spite of different scientific conferences and journals report software like research outcomes, til de moment, there are few antecedents about software life cycles for supporting scientific software development. As far as we have looked for, the software development methodologies in this domain are coarse grain ones, and there is no empirical ...
Pablo Valenzuela-Toledo, Carlos Cares
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The Determination Method for Software Reliability Qualitative Indices
2013 IEEE 7th International Conference on Software Security and Reliability, 2013The determination of software reliability indices is the primary task in the software reliability engineering. The indices are taken as not only the basis for the software reliability design and the constraints during the software development process, but also the foundation of the software's acceptance. Software reliability indices are usually divided
Qiuying Li, Lei Luo, Jun Ai
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Qualitative optimization in software engineering: A short survey
Journal of Systems and Software, 2016Abstract Many software engineering problems involve finding optimal solutions from a set of feasible solutions. Such methods often require stakeholders such as developers and testers to specify preferences over multiple attributes/objectives that are to be optimized.
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Computer-Assisted Qualitative Data Analysis Software
Oncology Nursing Forum, 2014Advances in technology have provided new approaches for data collection methods and analysis for researchers. Data collection is no longer limited to paper-and-pencil format, and numerous methods are now available through Internet and electronic resources. With these techniques, researchers are not burdened with entering data manually and data analysis
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Experience on Applying Quantitative and Qualitative Empiricism to Software Engineering
2007The workshop addresses practitioners and/or researchers who are interested in empirical software engineering, software process improvement, and quality management.Practitioners are being addressed specifically, since this workshop is also intended to find out what kind of information practitioners need, which kind of support they expect from research ...
Marcus Ciolkowski, Andreas Jedlitschka
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Data Analysis Software in Qualitative Research
Dimensions of Critical Care Nursing, 2019Research shows that more and more qualitative researchers now use computer software for qualitative data analysis. However, concerns, problems, and misunderstandings continue among developers themselves and researchers about its merits, their preconceptions, expectations, and adoption of the technology.
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Using Qualitative Analysis Software To Facilitate Qualitative Data Analysis
2014Technological advances in the last twenty years have led to the development of powerful software for qualitative data analysis. Computer assisted qualitative data analysis (CAQDAS) packages facilitate managing multiple tasks in qualitative research, from organizing data sources based on relevant characteristics, segmenting and categorizing data ...
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