Using a multi-method approach to understand Agile software product lines
Autor: | Eduardo Santana de Almeida, Silvio Romero de Lemos Meira, Ivonei Freitas da Silva, Paulo Anselmo da Mota Silveira Neto, Pádraig O'Leary |
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Rok vydání: | 2015 |
Předmět: |
Engineering
Process management Agile usability engineering business.industry Empirical process (process control model) Agile Unified Process Context (language use) Computer Science Applications Software Software_SOFTWAREENGINEERING Systems engineering Generalizability theory Product (category theory) business Information Systems Agile software development |
Zdroj: | Information and Software Technology. 57:527-542 |
ISSN: | 0950-5849 |
Popis: | Context Software product lines (SPLs) and Agile are approaches that share similar objectives. The main difference is the way in which these objectives are met. Typically evidence on what activities of Agile and SPL can be combined and how they can be integrated stems from different research methods performed separately. The generalizability of this evidence is low, as the research topic is still relatively new and previous studies have been conducted using only one research method. Objective This study aims to increase understanding of Agile SPL and improve the generalizability of the identified evidence through the use of a multi-method approach. Method Our multi-method research combines three complementary methods (Mapping Study, Case Study and Expert Opinion) to consolidate the evidence. Results This combination results in 23 findings that provide evidence on how Agile and SPL could be combined. Conclusion Although multi-method research is time consuming and requires a high degree of effort to plan, design, and perform, it helps to increase the understanding on Agile SPL and leads to more generalizable evidence. The findings confirm a synergy between Agile and SPL and serve to improve the body of evidence in Agile SPL. When researchers and practitioners develop new Agile SPL approaches, it will be important to consider these synergies. |
Databáze: | OpenAIRE |
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