Software product line engineering is an approach to cost-efficiently derive tailored products to markets and customers, utilizing common components and services in a planned manner. Product lines have been appl
Software ReliabilityIn this paper using the main feature of our proposed Model in its inflection point, we propose a softwarereliability growth model, which relatively early in the testing and debugging phase, provides accurateparameters estimation, gives a very good failure behavior prediction and ...
Engineering and Biological Systems Modeling Current Signal from an Energizing Transformer- Example Forecast Multivariate Time Series- Example Analyze Time-Series Models- Example Identify Time Series Models at the Command Line- Example Time Series Prediction and Forecasting for Prognosis- Example ...
Continuous Regression Testing for Engineering Teams Touca helps engineering teams find the unintended side-effects of their day to day code changes. It remotely compares the behavior and performance of your software against a previous trusted version and visualizes differences in near real-time. ...
I hope it will serve as a model for documenting more of the larger R functions and packages." (Jan de Leeuw, Journal of Statistical Software, 2009). "Readership: Under- and post-graduate students of statistics and of applied disciplines in biology, chemistry, engineering, fisheries science, ...
In: International Conference on Software Engineering (to appear, 2014) 8. Chittimalli, P.K., Harrold, M.J.: Regression test selection on system requirements. In: India Software Engineering Conference, pp. 87–96 (2008) 9. Czumaj, A., Kowaluk, M., Lingas, A.: Faster algorithms for ...
Regression testing is an important but expensive stage of software maintenance. Regression test selection addresses the problem of reducing testing cost th... C Tao,B Li,X Sun,... - Asia Pacific Software Engineering Conference 被引量: 11发表: 2010年 A Hierarchical Model for Regression Test Sele...
Logistic regression has also been used in the engineering domain for failure probability prediction. For instance, Sami presented in Ref. [47] a failure predictive model of companies using partial least squares logistic regression. The accuracy of the proposed method was 94.5%. In addition, another...
The test case prioritization technique organizes the test case in a test suite in an ordering such that ...Badhera, Usha; Purohit G.N. Biswas, Debarupa. 2012.Test Case Prioritization Algorithm Based Upon Modified Code Coverage In regression Testing.International Journal Of Software Engineering &...
30th European Symposium on Computer Aided Process Engineering 2.4 Sensitivity analysis Regression methods are often used to represent the complex behavior of the system in a simplified way through a response surface (Hamby, 1994). This representation is simply a regression equation that approximates the...