Sciweavers

28 search results - page 1 / 6
» Structural Statistical Software Testing with Active Learning...
Sort
View
ILP
2007
Springer
13 years 10 months ago
Structural Statistical Software Testing with Active Learning in a Graph
Structural Statistical Software Testing (SSST) exploits the control flow graph of the program being tested to construct test cases. Specifically, SSST exploits the feasible paths...
Nicolas Baskiotis, Michèle Sebag
IJCAI
2007
13 years 5 months ago
A Machine Learning Approach for Statistical Software Testing
Some Statistical Software Testing approaches rely on sampling the feasible paths in the control flow graph of the program; the difficulty comes from the tiny ratio of feasible p...
Nicolas Baskiotis, Michèle Sebag, Marie-Cla...
JMLR
2008
108views more  JMLR 2008»
13 years 4 months ago
A Recursive Method for Structural Learning of Directed Acyclic Graphs
In this paper, we propose a recursive method for structural learning of directed acyclic graphs (DAGs), in which a problem of structural learning for a large DAG is first decompos...
Xianchao Xie, Zhi Geng
PRIB
2010
Springer
192views Bioinformatics» more  PRIB 2010»
13 years 2 months ago
Structured Output Prediction of Anti-cancer Drug Activity
We present a structured output prediction approach for classifying potential anti-cancer drugs. Our QSAR model takes as input a description of a molecule and predicts the activity...
Hongyu Su, Markus Heinonen, Juho Rousu
IWPC
2010
IEEE
13 years 2 months ago
Studying the Impact of Social Structures on Software Quality
Abstract—Correcting software defects accounts for a significant amount of resources such as time, money and personnel. To be able to focus testing efforts where needed the most,...
Nicolas Bettenburg, Ahmed E. Hassan