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0957-4174/$ see front matter 2008 Elsevier Ltd. A doi:10.1016/j.eswa.2008.10.027 * Corresponding author. E-mail addresses: cagatay.catal@bte.mam.gov.tr (C (B. Diri). This paper provides a systematic review of previous software fault prediction studies with a specific focus on metrics, methods, and datasets. The review uses 74 software fault prediction(More)
Predicting the fault-proneness of program modules when the fault labels for modules are unavailable is a practical problem frequently encountered in the software industry. Because fault data belonging to previous software version is not available, supervised learning approaches can not be applied, leading to the need for new methods, tools, or techniques.(More)
Software testing is a time-consuming and expensive process. Software fault prediction models are used to identify fault-prone classes automatically before system testing. These models can reduce the testing duration, project risks, resource and infrastructure costs. In this study, we propose a novel fault prediction model to improve the testing process.(More)
The features of real-time dependable systems are availability, reliability, safety and security. In the near future, real-time systems will be able to adapt themselves according to the specific requirements and real-time dependability assessment technique will be able to classify modules as faulty or fault-free. Software fault prediction models help us in(More)
To classify a text or to recognize its author there are two ways. To use the content of the text or the style. In this study 22 of style markers figured out for each author. By the developed method the author of a text can be determined using the style markers formed from a group of authors. The author group consists of 18 different authors and the success(More)
Social media has become an important information source with the expanding internet and ideas shared by the people. The social media raw data which is quite disordered and messy can not be processed as it is and obtain adequate results. In this study, sentiment analysis has been performed by collecting data from the Twitter. To perform this analysis an(More)
OBJECTIVE The aims of this study are (1) to report 33 patients with Behçet's disease (BD) having various renal manifestations, and (2) to update current data using our patients and published papers about BD and renal manifestations. METHODS The PubMed database was searched using the terms BD or Behçet's syndrome. We found reports of 94 patients (including(More)
Software fault prediction models are used to identify the fault-prone software modules and produce reliable software. Performance of a software fault prediction model is correlated with available software metrics and fault data. In some occasions, there may be few software modules having fault data and therefore, prediction models using only labeled data(More)