Benchmarking Software Productivity and Quality in the Era of Large Language Model Code Generation and Low-Code/No-Code Platforms
by Srinivasa Gopal
The rapid proliferation of code generation through Large Language Models (LLMs) and the widespread adoption of Low-Code/No-Code (LCNC) platforms have fundamentally transformed traditional software development paradigms. These advancements necessitate a critical reassessment of conventional benchmarking methodologies, which have historically relied on well-established software development cycles and productivity metrics derived from extensive historical datasets.
Traditional productivity estimates may no longer be valid in environments where significant portions of code are either automatically generated by intelligent models or configured through visual, drag-and-drop interfaces. Consequently, there is an urgent need to develop updated productivity models that accurately reflect the realities of software creation in these emerging contexts. Similarly, the evaluation of software quality must evolve to keep pace with these technological shifts.
By developing new benchmarking standards and quality metrics that reflect these innovative development modalities, organizations can better understand the true impact of these technologies on software delivery efficiency and product excellence. This evolution in evaluation practices will be critical for maximizing the benefits of AI and LCNC tools while ensuring robust, maintainable, and high-quality software systems.
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About Srinivasa Gopal
Srinivasa Gopal has a Mechanical Engineering degree from the Indian Institute of Technology, a MS by Research degree in Industrial Systems Engineering from the University of Regina, Canada, and a MS by Research degree in Information Technology from the International Institute of Information Technology, Bengaluru. He was awarded the Governor General of Canada’s Academic Medal (Gold). Srinivasa Gopal has worked for leading multinational companies such as Infosys consultants, Emirates Airlines, Unisys Corporation, LandMark Gulf Group, and GAVS Info Services. He has published in the India Software Engineering Conference, the International Conference on Computers and Industrial Engineering, Florida, and the International Journal of Advanced Manufacturing Technology. He is a co-founders of the Ramanujan Society for Academic Research and Promotion of Science, a non-profit society for academic research and science. See LinkedIn profile