%0 Conference Paper %1 hindle07icsm %A Hindle, A. %A Godfrey, M.W. %A Holt, R.C. %B International Conference on Software Maintenance %C Paris %D 2007 %K empirical maintenance open-source %P 285-294 %R 10.1109/ICSM.2007.4362641 %T Release Pattern Discovery: A Case Study of Database Systems %U http://dx.doi.org/10.1109/ICSM.2007.4362641 %X Studying the release-time activities of a software project - that is, activities that occur around the time of a major or minor release - can provide insights into both the development processes used and the nature of the system itself. Although tools rarely record detailed logs of developer behavior, we can infer release-time activities from available data, such as logs from revision control systems, bug tracking systems, etc. In this paper, we discuss the results of a case study in mining patterns of release-time behavior from the revision control systems of four open source database systems. We partitioned the development artifacts into four classes - source code, tests, build files, and documentation - to be able to characterize the behavioral patterns more precisely. We found, for example, that there were consistent activity patterns around release time within each of the individual projects; we also found that these patterns did not persist across systems, leading us to hypothesize that the four projects follow different but consistent development patterns of activity around releases.

@inproceedings{hindle07icsm, abstract = {Studying the release-time activities of a software project - that is, activities that occur around the time of a major or minor release - can provide insights into both the development processes used and the nature of the system itself. Although tools rarely record detailed logs of developer behavior, we can infer release-time activities from available data, such as logs from revision control systems, bug tracking systems, etc. In this paper, we discuss the results of a case study in mining patterns of release-time behavior from the revision control systems of four open source database systems. We partitioned the development artifacts into four classes - source code, tests, build files, and documentation - to be able to characterize the behavioral patterns more precisely. We found, for example, that there were consistent activity patterns around release time within each of the individual projects; we also found that these patterns did not persist across systems, leading us to hypothesize that the four projects follow different but consistent development patterns of activity around releases.}, added-at = {2009-04-08T14:20:19.000+0200}, address = {Paris}, author = {Hindle, A. and Godfrey, M.W. and Holt, R.C.}, biburl = {https://www.bibsonomy.org/bibtex/216a960639647cdb5869ea8a062daac54/neilernst}, booktitle = {International Conference on Software Maintenance}, description = {Welcome to IEEE Xplore 2.0: Release Pattern Discovery: A Case Study of Database Systems}, doi = {10.1109/ICSM.2007.4362641}, interhash = {51aa1317af3cb609ef69ae93be2fa455}, intrahash = {16a960639647cdb5869ea8a062daac54}, issn = {1063-6773}, keywords = {empirical maintenance open-source}, month = {October}, pages = {285-294}, timestamp = {2009-04-08T14:20:19.000+0200}, title = {Release Pattern Discovery: A Case Study of Database Systems}, url = {http://dx.doi.org/10.1109/ICSM.2007.4362641}, year = 2007 }