ePrints@IIScePrints@IISc Home | About | Browse | Latest Additions | Advanced Search | Contact | Help

Identifying services from Legacy batch applications

Komondoor, Raghavan and Nandivada, Krishna V and Sinha, Saurabh and Field, John (2012) Identifying services from Legacy batch applications. In: ISEC '12 Proceedings of the 5th India Software Engineering Conference, Feb, 2012, Kanpur, UP, India.

[img] PDF
India_Sof_Eng_Con_13_2012.pdf - Published Version
Restricted to Registered users only

Download (206kB) | Request a copy
Official URL: http://dx.doi.org/10.1145/2134254.2134257


Transaction processing is a key constituent of the IT workload of commercial enterprises (e.g., banks, insurance companies). Even today, in many large enterprises, transaction processing is done by legacy "batch" applications, which run offline and process accumulated transactions. Developers acknowledge the presence of multiple loosely coupled pieces of functionality within individual applications. Identifying such pieces of functionality (which we call "services") is desirable for the maintenance and evolution of these legacy applications. This is a hard problem, which enterprises grapple with, and one without satisfactory automated solutions. In this paper, we propose a novel static-analysis-based solution to the problem of identifying services within transaction-processing programs. We provide a formal characterization of services in terms of control-flow and data-flow properties, which is well-suited to the idioms commonly exhibited by business applications. Our technique combines program slicing with the detection of conditional code regions to identify services in accordance with our characterization. A preliminary evaluation, based on a manual analysis of three real business programs, indicates that our approach can be effective in identifying useful services from batch applications.

Item Type: Conference Paper
Additional Information: Copyright of this article belongs to Association for Computing Machinery.
Department/Centre: Division of Electrical Sciences > Computer Science & Automation
Depositing User: Francis Jayakanth
Date Deposited: 08 Nov 2013 05:14
Last Modified: 08 Nov 2013 05:14
URI: http://eprints.iisc.ac.in/id/eprint/47721

Actions (login required)

View Item View Item