James Bieman

Affiliations: 
Colorado State University, Fort Collins, CO 
Area:
Computer Science
Google:
"James Bieman"
BETA: Related publications

Publications

You can help our author matching system! If you notice any publications incorrectly attributed to this author, please sign in and mark matches as correct or incorrect.

Assiri FY, Bieman JM. (2016) Fault localization for automated program repair: effectiveness, performance, repair correctness Software Quality Journal. 1-29
Kanewala U, Bieman JM, Ben-Hur A. (2016) Predicting metamorphic relations for testing scientific software: A machine learning approach using graph kernels Software Testing Verification and Reliability. 26: 245-269
Assiri FY, Bieman JM. (2015) The impact of search algorithms in automated program repair Procedia Computer Science. 62: 65-72
Kanewala U, Bieman JM. (2014) Testing Scientific Software: A Systematic Literature Review. Information and Software Technology. 56: 1219-1232
Assiri FY, Bieman JM. (2014) An assessment of the quality of automated program operator repair Proceedings - Ieee 7th International Conference On Software Testing, Verification and Validation, Icst 2014. 273-282
Wilcox C, Strout MM, Bieman JM. (2014) An optimization-based approach to lookup table program transformations Journal of Software: Evolution and Process. 26: 533-551
Lozano-Fuentes S, Wedyan F, Hernandez-Garcia E, et al. (2013) Cell phone-based system (Chaak) for surveillance of immatures of dengue virus mosquito vectors. Journal of Medical Entomology. 50: 879-89
Kanewala U, Bieman JM. (2013) Techniques for testing scientific programs without an oracle 2013 5th International Workshop On Software Engineering For Computational Science and Engineering, SE-Cse 2013 - Proceedings. 48-57
Kanewala U, Bieman JM. (2013) Using machine learning techniques to detect metamorphic relations for programs without test oracles 2013 Ieee 24th International Symposium On Software Reliability Engineering, Issre 2013. 1-10
Izurieta C, Bieman JM. (2013) A multiple case study of design pattern decay, grime, and rot in evolving software systems Software Quality Journal. 21: 289-323
See more...