Code quality analysis in open source software development

By I. Stamelos, L. Angelis, Apostolos Oikonomou, G. Bleris. Information Systems Journal, 2002

342 citations recorded by the source corpus.

Subfields: Computer Science Applications, Information Systems

View Paper: https://www.semanticscholar.org/paper/3ea12acd699b0be1985d51b49eeb48cab87034d0

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Science Applications

1. Kevin Crowston
2. James Linton Howison
3. Hala Annabi

In Information Systems

1. Mika V. Mäntylä
2. Marco Zanoni
3. Francesca Arcelli Fontana
4. Kevin Crowston
5. Alessandro Marino
6. James Linton Howison
7. Hala Annabi

Citations in the corpus

• Comparing and experimenting machine learning techniques for code smell detection (2015, background): “Early works suggest that open source may produce poorer code quality than commercial systems (Stamelos et al., 2002).”
• Defining Open Source Software Project Success (2003, background): “For example, Stamelos et al. (2002) suggested 2003 — Twenty-Fourth International Conference on Information Systems 3 that OSS code is generally of good quality.”
• Information systems success in free and open source software development: theory and measures (2006, methodology): “For example, Stamelos et al. (2002) suggested that FLOSS code is generally of good quality.”