Leveraging field data for impact analysis and regression testing

@inproceedings{citeulike:895459, abstract = {Software products are often released with missing functionality, errors, or incompatibilities that may result in failures, inferior performances, or user dissatisfaction. In previous work, we presented the Gamma approach, which facilitates remote analysis and measurement of deployed software and permits gathering of program-execution data from the field. In this paper, we investigate the use of the Gamma approach to support and improve two fundamental tasks performed by software engineers during maintenance: impact analysis and regression testing. We present a new approach that leverages field data to perform these two tasks. The approach is efficient in that the kind of field data that we consider require limited space and little instrumentation. We also present a set of empirical studies that we performed, on a real subject and on a real user population, to evaluate the approach. The results of the studies show that the use of field data is effective and, for the cases considered, can considerably affect the results of dynamic analyses.}, address = {New York, NY, USA}, author = {Orso, Alessandro and Apiwattanapong, Taweesup and Harrold, Mary J. }, booktitle = {ESEC/FSE-11: Proceedings of the 9th European software engineering conference held jointly with 11th ACM SIGSOFT international symposium on Foundations of software engineering}, citeulike-article-id = {895459}, doi = {http://dx.doi.org/10.1145/940071.940089}, issn = {0163-5948}, keywords = {regression, sw\_engineering, testing}, pages = {128--137}, posted-at = {2006-10-13 15:32:40}, priority = {4}, publisher = {ACM Press}, title = {Leveraging field data for impact analysis and regression testing}, url = {http://dx.doi.org/10.1145/940071.940089}, year = {2003} }

TY - CONF ID - citeulike:895459 L3 - citeulike-article-id:895459 TI - Leveraging field data for impact analysis and regression testing T2 - ESEC/FSE-11: Proceedings of the 9th European software engineering conference held jointly with 11th ACM SIGSOFT international symposium on Foundations of software engineering SP - 128 EP - 137 AD - New York, NY, USA PB - ACM Press SN - 0163-5948 N2 - Software products are often released with missing functionality, errors, or incompatibilities that may result in failures, inferior performances, or user dissatisfaction. In previous work, we presented the Gamma approach, which facilitates remote analysis and measurement of deployed software and permits gathering of program-execution data from the field. In this paper, we investigate the use of the Gamma approach to support and improve two fundamental tasks performed by software engineers during maintenance: impact analysis and regression testing. We present a new approach that leverages field data to perform these two tasks. The approach is efficient in that the kind of field data that we consider require limited space and little instrumentation. We also present a set of empirical studies that we performed, on a real subject and on a real user population, to evaluate the approach. The results of the studies show that the use of field data is effective and, for the cases considered, can considerably affect the results of dynamic analyses. KW - regression KW - sw_engineering KW - testing AU - Orso, Alessandro AU - Apiwattanapong, Taweesup AU - Harrold, Mary PY - 2003/// UR - http://dx.doi.org/10.1145/940071.940089 ER -