Data-flow testing (DFT) is a family of testing strategies designed to verify the interactions
between each program variable's definition and its uses. Such a test objective of interest is …

Despite being one of the most basic tasks in software development, debugging is still
performed in a mostly manual way, leading to high cost and low performance. To address …

We present the Jaguar fault localization tool, which uses Spectrum-based Fault Localization
techniques (SFL) to indicate faulty code excerpts. Jaguar supports both control-flow and …

Background: Debugging is a key task during the software development cycle. Spectrum-
based Fault Localization (SFL) is a promising technique to improve and automate …

Vulnerabilities are challenging to locate and repair, especially when source code is
unavailable and binary patching is required. Manual methods are time-consuming, require …

Apache Spark programming framework provides an effective and vigorous open-source
solution for Big data testing and management. It offers a rich set of big data applications …

Big data is defined as large amount of data which requires new technologies and
architectures so that it becomes possible to extract value from it by capturing and analysis …

Studies have shown that in the area of testing data-flow coverage is often more effective in
exposing errors compared to other approaches such as branch coverage. Thus, evaluating …

Although studies have emphasized that generating test cases with respect to data-flow
coverage is a highly effective approach to ensure software quality, there is still a lack of …

According to different studies, analyzing the data-flow coverage when testing programs is a
highly effective approach to ensure software quality. However, there is a need for tools …