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A Survey on Software Fault Localization
TLDR
Software fault localization, the act of identifying the locations of faults in a program, is widely recognized to be one of the most tedious, time consuming, and expensive - yet equally critical - activities in program debugging. Expand
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The DStar Method for Effective Software Fault Localization
TLDR
We show how the effectiveness of increases as the value of * increases until it reaches a critical value, and then levels off. Expand
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TRAF4 promotes TGF-β receptor signaling and drives breast cancer metastasis.
TGF-β signaling is a therapeutic target in advanced cancers. We identified tumor necrosis factor receptor-associated factor 4 (TRAF4) as a key component mediating pro-oncogenic TGF-β-induced SMAD andExpand
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Nuclear receptor NR4A1 promotes breast cancer invasion and metastasis by activating TGF-β signalling.
In advanced cancers, the TGF-β pathway acts as an oncogenic factor and is considered to be a therapeutic target. Here using a genome-wide cDNA screen, we identify nuclear receptor NR4A1 as a strongExpand
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Software Fault Localization Using DStar (D*)
TLDR
We propose a technique named DStar (D*), which has its origins rooted in similarity coefficient-based analysis, is proposed, which can identify suspicious locations for fault localization automatically without requiring any prior information on program structure or semantics. Expand
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Genome-wide survey and expression analysis of the OSCA gene family in rice
BackgroundReception of and response to exogenous and endogenous osmotic changes is important to sustain plant growth and development, as well as reproductive formation. Hyperosmolality-gatedExpand
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Using Ontologies for Test Suites Generation for Automated and Autonomous Driving Functions
TLDR
In this paper, we outline a general automated testing approach to be applied for verification and validation of automated and autonomous driving functions. Expand
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Genetic depletion and pharmacological targeting of αv integrin in breast cancer cells impairs metastasis in zebrafish and mouse xenograft models
IntroductionIncreased expression of αv integrins is frequently associated with tumor cell adhesion, migration, invasion and metastasis, and correlates with poor prognosis in breast cancer. However,Expand
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An Investigation of Essential Topics on Software Fault-Proneness Prediction
TLDR
This paper conducts an investigation of essential topics in this area, including techniques for evaluating the effectiveness of fault-proneness prediction models, issues of concerns when building the prediction models and findings shared by others. Expand
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