Authors :
Harshhitha Pattapuchetty; Usha Rani K R
Volume/Issue :
Volume 10 - 2025, Issue 6 - June
Google Scholar :
https://tinyurl.com/ft93pujr
DOI :
https://doi.org/10.38124/ijisrt/25jun423
Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.
Abstract :
Legacy software systems, specifically those that use COBOL, remain foundational in fields like banking,
insurance, and government infrastructure. As hardware architectures evolve, optimizing legacy binaries while maintaining
compatibility becomes increasingly important to harness the full potential of modern systems. However, direct refactoring
of source code is often infeasible due to risk, cost, or unavailability of the original codebase. Binary optimization offers a
compelling alternative that enables performance improvements at the binary level without touching the source. COBOL,
one of the oldest high-level programming languages, continues to run critical workloads in sectors such as finance,
government, and infrastructure. Despite its reliability, COBOL systems face growing challenges due to aging codebases,
limited source code availability, and the increasing gap between legacy software and modern hardware capabilities.
Recompilation is often infeasible, prompting the need for safe and practical binary-level optimization techniques. This paper
presents a design-focused review of binary optimization in the context of COBOL, beginning with an overview of the
language’s execution model and architectural constraints. We discuss IBM’s Automatic Binary Optimizer (ABO), a
production-grade tool designed to enhance the performance of COBOL binaries on modern IBM Z systems without
requiring source code. ABO’s use of “smart binaries” and instruction-level metadata enables advanced validation
workflows. We also survey key research contributions such as optimize-time validation (Koju et al.), hardware idiom
recognition, adaptive runtime frameworks like COBRA, and formal verification tools like Alive2.
Keywords :
COBOL, Legacy Systems, Binary Optimization, IBM Automatic Binary Optimizer (ABO), Smart Binary, Optimize- Time Validation, Intermediate Representation, Mainframe Modernization, Packed Decimal Arithmetic, Runtime Validation, Static Analysis, Translation Validation, Dynamic Optimization.
References :
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- M. Kawahito, H. Komatsu, T. Moriyama, H. Inoue and T. Nakatani, ”A New Idiom Recognition Framework for Exploiting Hardware- Assist Instructions,” Proceedings of the 12th International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), San Jose, CA, USA, 2006, pp. 382–393, doi: 10.1145/1168857.1168902.
- J. Kim, W. Hsu and P. Yew, ”COBRA: An Adaptive Runtime Binary Optimization Framework for Multithreaded Applications,” Proceedings of the 2007 International Conference on Parallel Processing (ICPP), Xi’an, China, 2007, pp. 25–32, doi: 10.1109/ICPP.2007.23.
- T. Koju, R. Copeland, M. Kawahito and M. Ohara, ”Re- constructing High-Level Information for Language-Specific Binary Re-Optimization,” Proceedings of the 2016 IEEE/ACM International Symposium on Code Generation and Optimization (CGO), Barcelona, Spain, 2016, pp. 273–283, doi: 10.1145/2854038.2854057.
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- J. E. Sammet, ”Brief Summary of the Early History of COBOL,” in Annals of the History of Computing, vol. 7, no. 4, pp. 288-303, Oct.- Dec. 1985, doi: 10.1109/MAHC.1985.10044.
- IBM Corporation, ”Migrating to Enterprise COBOL V6,” IBM Documentation, 2017. [Online]. Available: https://www.ibm.com/docs/en/cobol-zos/6.3
- IBM Corporation, ”z/Architecture Principles of Operation,” IBM Redbooks, SA22-7832-12, 2017. [Online]. Available: https://www.ibm.com/docs/en/zos/2.3.0?topic=architecture- zarchitecture-principles-operation
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- M. J. Gordon and T. F. Melham, Introduction to HOL: A Theorem Proving Environment for Higher Order Logic, Cambridge University Press, 1993.
Legacy software systems, specifically those that use COBOL, remain foundational in fields like banking,
insurance, and government infrastructure. As hardware architectures evolve, optimizing legacy binaries while maintaining
compatibility becomes increasingly important to harness the full potential of modern systems. However, direct refactoring
of source code is often infeasible due to risk, cost, or unavailability of the original codebase. Binary optimization offers a
compelling alternative that enables performance improvements at the binary level without touching the source. COBOL,
one of the oldest high-level programming languages, continues to run critical workloads in sectors such as finance,
government, and infrastructure. Despite its reliability, COBOL systems face growing challenges due to aging codebases,
limited source code availability, and the increasing gap between legacy software and modern hardware capabilities.
Recompilation is often infeasible, prompting the need for safe and practical binary-level optimization techniques. This paper
presents a design-focused review of binary optimization in the context of COBOL, beginning with an overview of the
language’s execution model and architectural constraints. We discuss IBM’s Automatic Binary Optimizer (ABO), a
production-grade tool designed to enhance the performance of COBOL binaries on modern IBM Z systems without
requiring source code. ABO’s use of “smart binaries” and instruction-level metadata enables advanced validation
workflows. We also survey key research contributions such as optimize-time validation (Koju et al.), hardware idiom
recognition, adaptive runtime frameworks like COBRA, and formal verification tools like Alive2.
Keywords :
COBOL, Legacy Systems, Binary Optimization, IBM Automatic Binary Optimizer (ABO), Smart Binary, Optimize- Time Validation, Intermediate Representation, Mainframe Modernization, Packed Decimal Arithmetic, Runtime Validation, Static Analysis, Translation Validation, Dynamic Optimization.