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An Investigation into Effective Test Coverage

2015
Metric for coverage test addresses certain structures of the test program to infer on the test complexity. In our work we explore a popular metric in unit testing namely definition-use, and analyse the evolution of test criteria defined within du testing.
Debashis Mukherjee, Rajib Mall
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Test coverage models for system test?

Proceedings. International Test Conference, 2003
Summary form only given. In the world of IC testing, efficiency measurements are based on test coverage of modeled faults, often stuck at faults. While this has been effective at the chip level to improve the quality of chip testing, the question is how can this be transferred to the system test level?
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Path coverage testing in the cloud

2012 International Conference on Communications and Information Technology (ICCIT), 2012
The aim of this paper is to present a new method for automated software testing as a cloud computing service. Unlike actual testing services, our goal is to provide a fully automated testing without human involvement from the service user's or provider's side.
Nassima Aleb, Samir Kechid
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Improving Coverage in Functional Testing

2006 Sixth International Conference on Quality Software (QSIC'06), 2006
Input-Predicate/Output (IP/O)_{n}-chains coverage criterion, originally proposed for black-box testing of telecommunications software, is adapted to white-box testing of programs written in block-structured languages. This criterion is based on the analysis of the effects of inputs on predicates and outputs in a program.
Jessica Chen   +3 more
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Framework for analog test coverage

International Symposium on Quality Electronic Design (ISQED), 2013
Measurement of the quality of tests run during high volume manufacturing of microprocessors is important to ensure desired outgoing product quality. For digital logic on die, such measurement is performed using techniques such as fast event-driven fault simulation using mature fault models such as stuck-at and transition faults.
Debesh Bhatta   +4 more
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Residual test coverage monitoring

Proceedings of the 1999 International Conference on Software Engineering (IEEE Cat. No.99CB37002), 1999
Structural coverage criteria are often used as an indicator of the thoroughness of testing, but complete satisfaction of a criterion is seldom achieved. When a software product is released with less than 100% coverage, testers are explicitly or implicitly assuming that executions satisfying the remaining test obligations (the residue) are either ...
Christina Pavlopoulou, Michal Young
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Visualization of MBT testing coverage

2019 13th International Conference on Research Challenges in Information Science (RCIS), 2019
Context: The testing phase is an important but very expensive part of development process. Model-Based Testing (MBT) allows the automation of the generation of test cases to decrease part of this high cost by using software conceptual models. Indeed, JMermaid is a tool that allows the automatic generation of software applications from the conceptual ...
Frank Reyes Garcia   +2 more
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Specification Coverage for Testing in Circus

2010
The Unifying Theories of Programming underpins the development of Circus, a state-rich process algebra for refinement. We have previously presented a theory of testing for Circus; it gives a symbolic characterisation of tests. Each symbolic test specifies constraints that capture the effect of the possibly nondeterministic state operations, and their ...
Ana Cavalcanti 0001, Marie-Claude Gaudel
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Mythical Unit Test Coverage

2019 IEEE/ACM 41st International Conference on Software Engineering: Software Engineering in Practice (ICSE-SEIP), 2019
It is a continuous struggle to understand how much a product should be tested before the delivery to the market. Ericsson decided to evaluate the adequacy of unit test coverage criterion that they employed for years as a guide for sufficiency of testing.
Vard Antinyan, Miroslaw Staron
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Test Coverage in Python Programs

2019 IEEE/ACM 16th International Conference on Mining Software Repositories (MSR), 2019
We study code coverage in several popular Python projects: flask, matplotlib, pandas, scikit-learn, and scrapy. Coverage data on these projects is gathered and hosted on the Codecov website, from where this data can be mined. Using this data, and a syntactic parse of the code, we examine the effect of control flow structure, statement type (e.g., if ...
Hongyu Zhai   +2 more
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