software engineering
The requirements, their types and priorities are gathered from 43 project teams which will be uselful to automate the phases of requirement engineering i.e. requirements classification and prioritisation. As the publicly available datasets do not contain the complete information (type and priority) about requirements, the dataset is created by collecting the data from 43 BTech project groups. This dataset includes 11 different types of software requirements. The dependency of requirements is also considered while gathering requirements from the project teams.
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Overview
The dataset under consideration is a comprehensive compilation of code snippets, function descriptions, and their respective binary representations aimed at fostering research in software engineering. It contains a variety of code functionalities and serves as a valuable resource for understanding the behavior and characteristics of C programs. This data is sourced from the AnghaBench repository, a well-documented collection of C programs available on GitHub.
Columns and Data Types
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Software engineering metrics collected via SourceMeter for open-source Java repositories.
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Companion data of the paper "Using social media and personality traits to assess software developers’ emotions" submitted to the IEEE Access journal, 2022. This dataset contains the anonymized dataset used in the study, including the answers of demographic survey, the answers to the Big Five Inventory, the experiment protocol, the manual analysis from psychologists and participants, all generated charts and data analysis.
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Component based software development (CBSD) is a trend in the indusrty. This dataset contains the size of the components in various softwares viz. WEKA, Apache crypto library, Apache Codec library and basic linear alebra library by M. Elsheimy. The first three are in Java and last one is in C# programming languages, From the WEKA repository, 11 packages have been considered,
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Experimental evaluation of test-driven development with interns working on a real industrial project:
- raw experimental data: unit test, integration tests results and coverage,
- R statistical analysis script,
- processing scripts.
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A fully-labeled C++03 program dataset provides a unique resource to evaluate model checkers in respect to language coverage. To tackle modern aspects of the C++ language, a large-scale benchmark dataset includes more than 1,500 C++03-compliant programs, which cover different aspects of the language, including exception handling, templates, inheritance, polymorphism, the standard template library, and object-oriented design.
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This folder contains the code and datasets necessary for performing experiments on the Steimann and Defects4J coverage matrices detailed in "Doric: Foundations for Statistical Fault Localisation". See the README.txt inside the folder for further details.
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With the popularity of smartphones and widespread use of high-speed Internet, social media has become a vital part of people’s daily life. Currently, text messages are used in many applications, such as mobile chatting, mobile banking, and mobile commerce. However, when we send a text message via short message service (SMS) or social media, the information contained in the text message transmits as a plain text, which exposes it to attacks.
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This table summarizes the results of our search of topics/categories on ACM DL and IEEE Xplore and lists the earliest relevant publication found in each topic/category along with the title, authors, direct links, and venue and/or remarks as appropriate.
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