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Effective debugging is crucial to producing dependable software. Manual debugging is becoming prohibitively expensive, especially due to the growing size and complexity of programs. Given that fault localization is one of the most expensive activities in program debugging, there has been a great demand for fault localization techniques that can help guide(More)
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. Due to the increasing scale and complexity of software today, manually locating faults when failures occur is rapidly becoming(More)
Increased expression of αv integrins is frequently associated with tumor cell adhesion, migration, invasion and metastasis, and correlates with poor prognosis in breast cancer. However, the mechanism by which αv integrins can enhance breast cancer progression is still largely unclear. The effects of therapeutic targeting of αv integrins in breast cancer(More)
Previous studies have reported that the performance of a developer can greatly impact the quality of the software he/she has worked on. Such performance can be measured using two developer risk metrics during a particular development period. One is the ratio of the number of bug-introduce commits to the total number of commits made by a developer (i.e., the(More)
Understanding how software developers' erroneous tendency changes across time has significant implications for building fault-proneness prediction models and guiding software evolution testing. This paper initiates the investigation on software developers' bug-introducing tendency through an exploratory analysis. Five metrics are proposed to capture(More)
Understanding critical aspects of software fault-proneness prediction contributes significantly to building effective fault-proneness prediction models. 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(More)
Although radiotherapy following mastectomy was demonstrated to reduce the recurring risk and improve the prognosis of patients with breast cancer, it is also notorious for comprehensive side effects, hence only a selected group of patients can benefit. Therefore, the screening of molecular markers capable of predicting the efficacy of radiotherapy is(More)
The world is deluged with various kinds of data-scientific data, environmental data, financial data and mathematical data. Manually analyzing, classifying, and summarizing the data is impossible because of the incredible increase in data in this age of net work and information sharing. This research investigates the fundamentals of data mining and current(More)
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