| Autor: |
Lucas Layman, Davide Falessi, Michele A. Shaw, Forrest Shull, Madeline Diep, Linda Esker |
| Rok vydání: |
2015 |
| Předmět: |
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| Zdroj: |
The Art and Science of Analyzing Software Data |
| DOI: |
10.1016/b978-0-12-411519-4.00012-4 |
| Popis: |
Software data analytics is key for helping stakeholders make decisions, and thus establishing a measurement and data analysis program is a recognized best practice within the software industry. However, practical implementation of measurement programs and analytics in industry is challenging. In this chapter, we discuss real-world challenges that arise during the implementation of a software measurement and analytics program. We also report lessons learned for overcoming these challenges and best practices for practical, effective data analysis in industry. The lessons learned provide guidance for researchers who wish to collaborate with industry partners in data analytics, as well as for industry practitioners interested in setting up and realizing the benefits of an effective measurement program. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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