Difference between revisions of "1 July 2013"

From Pel
Jump to navigation Jump to search
(Created page with "Performance regression testing is an important step in the production process of enterprise applications. Current manual approach to detect performance regression anomalies is er...")
 
 
(2 intermediate revisions by 2 users not shown)
Line 1: Line 1:
 +
The paper 'Analysis of Performance Regression Testing Data by Transaction Profiles' by Shadi Ghaith has been accepted for publication at [http://issta2013.inf.usi.ch/doctoralsymposium The ISSTA Doctoral Symposium].
 +
 
Performance regression testing is an important step in the production process of enterprise applications. Current manual approach to detect performance regression anomalies is error-prone, time consuming and sensitive to the load applied during the performance testing run. In our research, we propose a new technique that overcomes the above problems which helps the performance testing teams to improve their process and speeds up the entire software production process.
 
Performance regression testing is an important step in the production process of enterprise applications. Current manual approach to detect performance regression anomalies is error-prone, time consuming and sensitive to the load applied during the performance testing run. In our research, we propose a new technique that overcomes the above problems which helps the performance testing teams to improve their process and speeds up the entire software production process.
 +
 +
[[Category:news|2013 07 01]]

Latest revision as of 15:08, 11 July 2013

The paper 'Analysis of Performance Regression Testing Data by Transaction Profiles' by Shadi Ghaith has been accepted for publication at The ISSTA Doctoral Symposium.

Performance regression testing is an important step in the production process of enterprise applications. Current manual approach to detect performance regression anomalies is error-prone, time consuming and sensitive to the load applied during the performance testing run. In our research, we propose a new technique that overcomes the above problems which helps the performance testing teams to improve their process and speeds up the entire software production process.