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Has files: YesSubject: search.filters.subject.Software Development

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    PublicationEmbargo
    Project Zone : An Advanced Undergraduate Project Management System For Software Development
    (IEEE, 2021-12-02) Amarasekara, T. N. E.; Isurindi, H. G. P.; Gamage, O. M.; Navanjana, E. H. D. T. D.; Samarakoon, U; Archchana, K
    Project Management System important in largescale projects. There are existing project management tools such as Redmine, Microsoft Project, Jira. Most of the existing project management systems only configured for general purposes such as Project Management, Task management, Time line management. None of them capable of generating project groups, track student progress or track client meetings. These functions are very helpful in tracking project progress as well as individual member progress. Hence, the purpose of this research is to introduce set of new features to a project management system with accurate and effective project management capabilities. This system is capable of generating project groups using student’s skills, Grade point average (GPA). Smart project tracking system where it uses project repositories and system generated timeline for the project. Using the project tracking system, Supervisors can manage groups remotely. Automatic peer review also added to identify each student’s contribution to the project and finally a client portal where clients can request solutions for their requirements and students can use them as their module project. Client meetings will be tracked using voice-to-text algorithm and also emotional recognition where it will identify client’s satisfaction. All These system modules will be used to calculate group performance.
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    PublicationEmbargo
    Software Complexity Reduction through the Process Automation in Software Development Life Cycle
    (IEEE, 2021-11-29) Wijendra, D; Hewagamage, K. P
    Numerous software complexity metrics have been introduced to quantify the software complexity in terms of different attributes considered in its written source code. Although the complexity determination is bounded with its source code, it should be expressed beyond its code base level, since the software is implemented as a combination of different phrases inside the Software Developments Life Cycle. The automation of the processes involved in software implementation procedure will mitigate the human effort taken during the phrases, resulting that the overall complexity of the software will also be reduced. The proposed system has the capability to demonstrate the requirement analysis, design, defects tracking, quality analysis and the complexity computation with respective to the different complexity metrics without restraining the software complexity evaluation into several quality attributes within the source code.