Defect Management System Powered by AI

Defect management is an important process as part of project execution/management. It is challenging to manage a large pool of defect data without a robust tool to automate the data collection/manipulation/categorization/analysis and reporting processes. Besides, data integrity and consistency are always the biggest challenges for users to obtain updated information for analysis. The AI-powered SDMS will contain the capabilities of defect reporting, defect classification/scrubbing, defect prioritization, defect root cause analysis, defect prediction, and defect prevention services. The SDMS will use a smart way to identify the validity of the defect reported to the system. Once the issue has been identified as valid, the system will categorize the defect based on severity, identify risk based on code fixing complexity, and propose a potential fix solution. The system will utilize the source data collected, and automatically plot the defect root cause analysis charts and defect prediction charts without any user intervention at different stages during the entire project lifecycle, via logic incorporated with AI algorithm and machine learning. The data will be available at any time in a live database which requires no manual pulling.

Paper | Presentation

Wei Wooi Peh

Peh Wei Wooi is the platform validation lead in the Intel platform integration & validation organization. His role and responsibilities are to develop and maintain the Intel platform validation process, methodologies, test plans, and BKMs for technologies and products. Prior to this role, he was a Software ADP (Application Development Program) lead in Motorola Solutions who was responsible to support all the API-related inquiries, proof of concept/Demo, system integration, etc. from ADP partners globally. He has also been certified as the ISTQB (International Software Test Qualification Board) tester and the Red Hat System Administrator.

Liu Keping, Senior Software Quality Engineer, Intel Technology

Keping Liu is a Technical Leader in Software Quality Assurance at Intel Corporation based in Shanghai, China. She is responsible for software release qualification, data analysis, organizational process improvement, and new technology exploration. Prior to this role, she served as Quality Manager in Project (QMP) and Advanced Product Quality Planner (APQP) at Automotive industry, with which she gained rich experience on ASPICE, TS16949, ISO26262 and VDA 6.3. She is a certified CMMI assessor, ISO internal assessor, ASPICE internal assessor, CSQE, and gained 6 Sigma Orange Belt and CPMP certification since 2009. She holds a master's degree in computer science and technology from Central South University in China.

Ooi Mei Chen, Software Quality Engineer

Ooi Mei Chen has been in software engineering for over 12 years and has held many roles spanning code development, design, and project management. She currently serves as a senior System Software Quality Engineer at Intel Corporation based in Penang, Malaysia. She holds a Degree in Computer Science from University Tunku Abdul Rahman, MY.

Felix Eu, Software Quality Engineer, Intel

Felix Eu is a Software Quality Engineer at Intel Corporation based in Penang, Malaysia and is responsible for software release qualification and process improvement. Prior to this role, he was a Software Test Engineer and Test Project Lead at Motorola Solutions responsible for two-way radio software related functional testing, test planning, defect prediction, escaped defect analysis and test project management. He was a Supplier Software Development Engineer in the same organization and responsible for supplier engagement in software development and process improvement. In these roles, his efforts focus on software product quality and business process improvement. He has held the Lean Six Sigma Green Badge since 2019 and holds a Degree in Computer Science from University of Bolton in the UK.