Sciweavers

Share
IJCAI
2007
9 years 9 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...
QSHINE
2005
IEEE
10 years 1 months ago
Solving The Multi-Constrained Path Selection Problem By Using Depth First Search
An extended depth-first-search (EDFS) algorithm is proposed to solve the multi-constrained path (MCP) problem in quality-of-service (QoS) routing, which is NP-Complete when the n...
Zhenjiang Li, J. J. Garcia-Luna-Aceves
ICRA
2009
IEEE
170views Robotics» more  ICRA 2009»
10 years 2 months ago
Path diversity is only part of the problem
— The goal of motion planning is to find a feasible path that connects two positions and is free from collision with obstacles. Path sets are a robust approach to this problem i...
Ross A. Knepper, Matthew T. Mason
ICSE
2008
IEEE-ACM
10 years 8 months ago
Answering common questions about code
Difficulties understanding update paths while understanding code cause developers to waste time and insert bugs. A detailed investigation of these difficulties suggests that a wid...
Thomas D. LaToza
books