• Corpus ID: 44732653

Accurate diagnosis of cross-browser compatibility issues via machine learning

  title={Accurate diagnosis of cross-browser compatibility issues via machine learning},
  author={Nataliia Semenenko},
1 Citations
Browserbite: cross‐browser testing via image processing
This paper presents a novel method for cross‐browser testing based purely on image processing that achieves an F‐score exceeding 90%, outperforming a state‐of‐the‐art cross-browser testing tool based on DOM analysis.


ROC Analysis
ROC analysis investigates and employs the relationship between sensitivity and specificity of a binary classifier to address a range of problems, including determining a decision threshold that minimises error rate or misclassification cost under given class and cost distributions.
WebMate: Generating Test Cases for Web 2.0
This work presents a technique to automatically generate tests for Web 2.0 applications, which systematically explores and tests all distinct functions of a web application.
Automated cross-browser compatibility testing
  • Ali Mesbah, M. Prasad
  • Computer Science
    2011 33rd International Conference on Software Engineering (ICSE)
  • 2011
This paper poses the problem of cross-browser compatibility testing of modern web applications as a 'functional consistency' check of web application behavior across different web browsers and presents an automated solution for it and validate its effectiveness and real-world relevance.
CrossCheck: Combining Crawling and Differencing to Better Detect Cross-browser Incompatibilities in Web Applications
The results of the experiments show that CROSSCHECK is both effective and efficient in detecting XBIs, and that it can outperform existing techniques.
Estimation of the reliability of ratings
A procedure for estimating the reliability of sets of ratings, test scores, or other measures is described and illustrated. This procedure, based upon analysis of variance, may be applied both in the
Introduction to Data Mining, (First Edition)
Introduction to neural networks for C
Neural Networks in C++: An Object-Oriented Framework for Building Connectionist Systems
Besides providing a wealth of examples in C++, full coverage of three major application areas of neural network programming is included along with a complete C++ class library especially designed for neural network usage.
WebMate: a tool for testing web 2.0 applications
The WEBMATE approach automatically explores and navigates through arbitrary Web 2.0 applications, addresses challenges such as interactive elements, state abstraction, and non-determinism in large applications, and demonstrates its usage for regular application testing as well as for cross-browser testing.