Videos with tag metrics
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17:03
17:03
17:03

A Controlled Experiment for Evaluating the Impact of Couplin

A Controlled Experiment for Evaluating the Impact of Coupling on the Maintainability of Service-Oriented Software. Perepletchikov, M. and Ryan, C. 2010. A Controlled Experiment for Evaluating the Impact of Coupling on the Maintainability of Service-Oriented Software. IEEE Transactions on Software Engineering. 37, 4 (July/August 2011), 449 - 465. DOI= http://0-dx.doi.org.aupac.lib.athabascau.ca/10.1109/TSE.2010.61.

Added: 2178 days ago by chanj

Views: 239 | Comments: 0 | Not yet rated

 
09:44
09:44
09:44

Does Test-Driven Development Really Improve Software Design

David Janzen, Hossein Saiedian, Does Test-Driven Development Really Improve Software Design Quality?, IEEE Software, vol. 25, no. 2, pp. 77-84, Mar./Apr. 2008, doi:10.1109/MS.2008.34 http://doi.ieeecomputersociety.org/10.1109/MS.2008.34

Added: 2545 days ago by lornabr6

Views: 1025 | Comments: 0 | Not yet rated

 
19:24
19:24
19:24

A Metric for Software Readability

R.P.L. Buse and W.R. Wiemer, "A metric for software readability", Proc. 2008 Int'l Symp. Software Testing and Analysis (ISSTA 2008), ACM, 2008, pp. 121-130, doi:http://doi.acm.org/10.1145/1390630.1390647

Added: 2915 days ago by evanw

Views: 443 | Comments: 0 | star star star star star star star star star star 

 
26:28
26:28
26:28

Classifying Software Changes: Clean or Buggy?

Abstract: The paper under review suggests novel technique, Change Classification, for predicting latent software bugs by implementing machine learning algorithms, namely the Support Vector Machine algorithm to classify changes as either clean or buggy immediately after the commit has been made. The classifier is trained using features in the SCM repository of the system under investigation. Results were tested with 12 open source projects with 78% accuracy and a 60% buggy change recall on average.

Added: 3045 days ago by mohammedy

Views: 269 | Comments: 0 | Not yet rated

 
18:56
18:56
18:56

A Research Agenda for Distributed Software Development

Sengupta, B., Chandra, S., and Sinha, V.,

Added: 3048 days ago by twang

Views: 230 | Comments: 0 | star star star star star star star star