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.

Diep, M., Esker, L., Falessi, D., Layman, L., Shaw, M., Shull, F. (2015). Applying Software Data Analysis in Industry Contexts: When Research Meets Reality. In The Art and Science of Analyzing Software Data (pp. 327-348). Elsevier Inc. [10.1016/B978-0-12-411519-4.00012-4].

Applying Software Data Analysis in Industry Contexts: When Research Meets Reality

Falessi D.;
2015-01-01

Abstract

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.
2015
Settore ING-INF/05 - SISTEMI DI ELABORAZIONE DELLE INFORMAZIONI
English
Rilevanza internazionale
Capitolo o saggio
Data Analysis
Practical Software Measurement
Software Best Practices
Software Industry Challenges
Diep, M., Esker, L., Falessi, D., Layman, L., Shaw, M., Shull, F. (2015). Applying Software Data Analysis in Industry Contexts: When Research Meets Reality. In The Art and Science of Analyzing Software Data (pp. 327-348). Elsevier Inc. [10.1016/B978-0-12-411519-4.00012-4].
Diep, M; Esker, L; Falessi, D; Layman, L; Shaw, M; Shull, F
Contributo in libro
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2108/273865
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 1
  • ???jsp.display-item.citation.isi??? ND
social impact