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<title>2024</title>
<link>https://ar.iub.edu.bd/handle/11348/951</link>
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<pubDate>Sat, 27 Jun 2026 09:45:11 GMT</pubDate>
<dc:date>2026-06-27T09:45:11Z</dc:date>
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<title>Performance factors of software firms in developing economies: a hybrid structural and artificial neural network model</title>
<link>https://ar.iub.edu.bd/handle/11348/1234</link>
<description>Performance factors of software firms in developing economies: a hybrid structural and artificial neural network model
Saba, Md. Shahim Uddin
The research paper presented in this project report focuses on the comparative performance of software companies in developing countries concerning product radicalness, new product advantages, customer unfamiliarity, and industry differences. It is based on SEM-PLS and ANN methodologies and therefore adopts a sophisticated approach to the study of these variables and their relationships. As a result of the outcome SEM-PLS, it was established that product radicalness relates positively to firm performance through new product advantages, while customer unfamiliarity has a negative impact. To further enhance predictive accuracy, we applied the ANN model, which accommodates non-linear relationships and non-normal data distribution. Based on the results, the ANN model revealed an 86.2% prediction accuracy and ranked product radicalness as the first key contributor to firm performance. In addition, industry differences were also represented when the different trends were discovered; for example, there was a higher sensitivity to customer unfamiliarity in the manufacturing industry than in the service industry.
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<pubDate>Wed, 01 May 2024 00:00:00 GMT</pubDate>
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<dc:date>2024-05-01T00:00:00Z</dc:date>
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<title>A Comprehensive Approach to Software Quality Assurance (SQA): AI-Driven Regression Testing and Continuous Improvement Strategies for Bangladeshi Software Industry</title>
<link>https://ar.iub.edu.bd/handle/11348/1003</link>
<description>A Comprehensive Approach to Software Quality Assurance (SQA): AI-Driven Regression Testing and Continuous Improvement Strategies for Bangladeshi Software Industry
Ahmed, Selim; Fatema, Kanij
The key aims of our thesis were to acquire hands-on understanding of current trends in the software engineering industry, engage in research, and explore various technological elements within case studies and real-world scenarios. These elements include research and development, Regression testing, software quality assurance, and process engineering. Throughout the program, we have been exposed to cutting-edge technologies, which has allowed us to realistically use these insights in real-life initiatives.&#13;
Furthermore, this thesis gave us important insights into the most recent developments in software engineering as well as industry best practices. Working together with specialists from the sector improved our comprehension of how theoretical principles are applied in real-world situations. This project’s comprehensive nature has strengthened not just our technical expertise but also our problem-solving and collaborative skills.
</description>
<pubDate>Mon, 28 Oct 2024 00:00:00 GMT</pubDate>
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<dc:date>2024-10-28T00:00:00Z</dc:date>
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<title>Risk Mitigation in Software Engineering: Practices, Challenges and Opportunities</title>
<link>https://ar.iub.edu.bd/handle/11348/1002</link>
<description>Risk Mitigation in Software Engineering: Practices, Challenges and Opportunities
Siddiqua, Mahpara Sayema
The titled as ‘Risk Mitigation in Software Engineering: Practices, Challenges and Opportunities’ combines three separate studies that were done focusing on security requirements gathering, risk management practices in software development projects and use of system modeling in software development. The studies were all done on Bangladesh based software firms to gain their perspectives and identify and investigate the challenges and present a guideline addressing those. The studies helped to gather insights on the scenario of the firms based in Bangladesh and contributed to the research experience.
</description>
<pubDate>Mon, 28 Oct 2024 00:00:00 GMT</pubDate>
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<dc:date>2024-10-28T00:00:00Z</dc:date>
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<title>Adaptive Hybrid Software Project Management in Bangladesh’s Software Industry: Navigating the Cultural Transformation and Ensuring On-Time Delivery</title>
<link>https://ar.iub.edu.bd/handle/11348/1001</link>
<description>Adaptive Hybrid Software Project Management in Bangladesh’s Software Industry: Navigating the Cultural Transformation and Ensuring On-Time Delivery
Alam, Md Mahbub; Priti, Sabrina Islam
The primary objectives of our thesis were to gain practical knowledge of industry trends in software engineering, conduct in-depth research, and familiarize ourselves with various technological aspects through case studies and real-world scenarios, including research and development, requirements engineering, software quality assurance, architecture, and process engineering.&#13;
Furthermore, this thesis provided us with valuable insights into industry best practices and the latest advancements in software engineering. Collaborating with industry professionals during this project has enhanced our understanding of how theoretical concepts are applied in practice.
</description>
<pubDate>Mon, 28 Oct 2024 00:00:00 GMT</pubDate>
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<dc:date>2024-10-28T00:00:00Z</dc:date>
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