Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
Short-circuit evaluation is a widely used programming-language mechanism that avoids unnecessary computation during Boolean expression evaluation. This article synthesizes a structured review of thirty key works in compiler optimization, lazy evaluation, Boolean logic execution, machine-learning-driven compiler techniques, and energy-efficient computing to develop optimization strategies for short-circuit evaluation. The paper identifies empirical and methodological gaps in existing literature, proposes a conceptual optimization framework that combines static compiler passes with runtime adaptive ordering, and outlines an experimental agenda for validating performance and energy benefits in modern computing environments. The proposed framework demonstrates that optimized short-circuit evaluation can reduce computational overhead, improve execution efficiency, and contribute to energy-aware software engineering practices.
"Optimization of Short-Circuit Evaluation for High-Performance and Energy-Efficient Computing", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.11, Issue 4, page no.b67-b69, April-2026, Available :http://www.ijrti.org/papers/IJRTI2604144.pdf
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2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator