Abstract is missing.
- Parametric model CESI experience: (keynote)Barry W. Boehm. 1 [doi]
- Software industry experiments: a systematic literature reviewOscar Dieste, Natalia Juristo Juzgado, Mauro Danilo Martínez. 2-8 [doi]
- Conducting empirical studies in industry: balancing rigor and relevanceShilpi Jain, Muhammad Ali Babar, Jude Fernandez. 9-14 [doi]
- Industrial study on test driven development: challenges and experienceAdnan Causevic, Rakesh Shukla, Sasikumar Punnekkat. 15-20 [doi]
- Six reasons for rejecting an industrial survey paperMarco Torchiano, Filippo Ricca. 21-26 [doi]
- Success factors for empirical studies in industry-academia collaboration: a reflectionPaul Grünbacher, Rick Rabiser. 27-32 [doi]
- Mind the gap and find common ground: empirical research in multiple firmsNaomi Unkelos-Shpigel, Irit Hadar. 33-36 [doi]
- Generalizing by similarity: lessons learnt from industrial case studiesSmita Ghaisas, Preethu Rose, Maya Daneva, Klaas Sikkel, Roel Wieringa. 37-42 [doi]
- Empirical software engineering research with industry: top 10 challengesClaes Wohlin. 43-46 [doi]
- Conducting a long-term case study in a software firm: an experience reportSofia Sherman, Irit Hadar. 47-50 [doi]
- Conducting interview studies: challenges, lessons learned, and open questionsJim Witschey, Emerson R. Murphy-Hill, Shundan Xiao. 51-54 [doi]
- Confounding factors when conducting industrial replications in requirements engineeringDavid Callele, Krzysztof Wnuk, Markus Borg. 55-58 [doi]
- Plat_Forms: contests as an alternative approach to SE empirical studies in industryLutz Prechelt, Ulrich Stärk. 59-62 [doi]
- Lessons learned from conducting industry surveys in software testingTanjila Kanij, Robert Merkel, John C. Grundy. 63-66 [doi]
- Can we do useful industrial software engineering research in the shadow of lean and agile?Kristian Wiklund, Sigrid Eldh, Daniel Sundmark, Kristina Lundqvist. 67-68 [doi]
- Some researcher considerations when conducting empirical studies in industrySigrid Eldh. 69-70 [doi]