论文列表及评分结果
Special issue on automation of software testing: improving practical applicability.
电商所评分：2
In this issue.
电商所评分：9
Testing TLS using planning-based combinatorial methods and execution framework.
电商所评分：8
Usability improvement through A/B testing and refactoring.
电商所评分：5
In this issue.
电商所评分：9
Guest editorial: special issue on concurrent software quality.
电商所评分：1
Correction to: Towards improving decision making and estimating the value of decisions in value-based software engineering: the VALUE framework.
电商所评分：8
In this issue.
电商所评分：7
Automated functional testing of mobile applications: a systematic mapping study.
电商所评分：1
Correlation of critical success factors with success of software projects: an empirical investigation.
电商所评分：3
Virtual machine placement quality estimation in cloud infrastructures using integer linear programming.
电商所评分：1
Safety-complete test suites.
电商所评分：8
n-Complete test suites for IOCO.
电商所评分：3
Test descriptions with ETSI TDL.
电商所评分：4
Software Design Smell Detection: a systematic mapping study.
电商所评分：7
Coverage-based quality metric of mutation operators for test suite improvement.
电商所评分：4
To var or not to var: how do C# developers use and misuse implicit and explicit typing?
电商所评分：8
Risk factors in software development projects: a systematic literature review.
电商所评分：8
API trustworthiness: an ontological approach for software library adoption.
电商所评分：4
FSM inference and checking sequence construction are two sides of the same coin.
电商所评分：7
Differences between a static and a dynamic test-to-code traceability recovery method.
电商所评分：2
Fault-based refinement-testing for CSP.
电商所评分：10
Learning and statistical model checking of system response times.
电商所评分：4
Assisting software engineering students in analyzing their performance in software development.
电商所评分：8
A method to evaluate quality of modelling languages based on the Zachman reference taxonomy.
电商所评分：9
CVSkSA: cross-architecture vulnerability search in firmware based on kNN-SVM and attributed control flow graph.
电商所评分：8
A new weighted naive Bayes method based on information diffusion for software defect prediction.
电商所评分：6
Testing self-healing cyber-physical systems under uncertainty: a fragility-oriented approach.
电商所评分：2
An approach for guiding developers in the choice of security solutions and in the generation of concrete test cases.
电商所评分：3
Automatically learning usage behavior and generating event sequences for black-box testing of reactive systems.
电商所评分：6