five

Early Software Size Estimation using ADAF-adjusted Analysis Class Diagram Metrics - Datasets

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NIAID Data Ecosystem2026-03-13 收录
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https://data.mendeley.com/datasets/42hpt8bnk3
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It includes six different datasets. The first five datasets contain student projects collected from different offerings of two undergraduate-level courses – Object-Oriented Analysis and Design (OOAD) and Software Engineering (SE) – taught in a renowned private university in Lahore over a period of six years. The sixth dataset contains real-life industry projects collected from a renowned software house (i.e. member of Pakistan Software Houses Association for IT and ITeS (P@SHA)) in Lahore. Dataset #1 consists of 31 C++ GUI-based desktop applications. Dataset #2 consists of 19 Java GUI-based desktop applications. Dataset #3 consists of 11 Java Command line-based desktop applications. Dataset #4 consists of 12 Java web applications. Dataset #5 consists of 42 Java – all three categories. Dataset #6 consists of 11 VB.NET GUI-based desktop applications. The analysis class diagram (ACD) metrics were adjusted using analysis-to-design adjustment factors (ADAFs). OCP was calculated using the ACD of the project. SLOC was automatically collected from reverse engineering the source code of the project. Attributes are used as follows: Project Code - project ID for identification purposes ANOC – ADAF-adjusted number of classes ANOA – ADAF-adjusted number of attributes ANOM – ADAF-adjusted number of methods ANOR – ADAF-adjusted number of relationships OCP – objective class points SLOC – software size measured in source lines of code
创建时间:
2022-02-07
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