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» The data mining approach to automated software testing
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PROFES
2005
Springer
15 years 3 months ago
Mega Software Engineering
Abstract. In various fields of computer science, rapidly growing hardware power, such as high-speed network, high-performance CPU, huge disk capacity, and large memory space, has ...
Katsuro Inoue, Pankaj K. Garg, Hajimu Iida, Ken-ic...
SIGSOFT
2006
ACM
15 years 3 months ago
Interpolation for data structures
Interpolation based automatic abstraction is a powerful and robust technique for the automated analysis of hardware and software systems. Its use has however been limited to contr...
Deepak Kapur, Rupak Majumdar, Calogero G. Zarba
IHI
2010
198views Healthcare» more  IHI 2010»
14 years 4 months ago
Large-scale multimodal mining for healthcare with mapreduce
Recent advances in healthcare and bioscience technologies and proliferation of portable medical devices are producing massive amounts of multimodal data. The need for parallel pro...
Fei Wang, Vuk Ercegovac, Tanveer Fathima Syeda-Mah...
OOPSLA
2010
Springer
14 years 8 months ago
Random testing for higher-order, stateful programs
Testing is among the most effective tools available for finding bugs. Still, we know of no automatic technique for generating test cases that expose bugs involving a combination ...
Casey Klein, Matthew Flatt, Robert Bruce Findler
SAC
2003
ACM
15 years 3 months ago
An Initial Investigation of Test Driven Development in Industry
Test Driven Development (TDD) is a software development practice in which unit test cases are incrementally written prior to code implementation. In our research, we ran a set of ...
Boby George, Laurie A. Williams