Author_Institution :
Dept. of Comput. Sci., Univ. Coll. London, London, UK
Abstract :
Source Code Analysis and Manipulation (SCAM) underpins virtually every operational software system. Despite the impact and ubiquity of SCAM principles and techniques in software engineering, there are still frontiers to be explored. Looking "inward" to existing techniques, one finds frontiers of performance, efficiency, accuracy, and usability, looking "outward" one finds new languages, new problems, and thus new approaches. This paper presents a reflective framework for characterizing source languages and domains. It draws on current research projects in music program analysis, musical score processing, and machine knitting to identify new frontiers for SCAM. The paper also identifies opportunities for SCAM to inspire, and be inspired by, problems and techniques in other domains.
Keywords :
music; program diagnostics; software maintenance; SCAM principles; machine knitting; music knitting; music program analysis; music programming; musical score processing; software engineering; source code analysis and manipulation; source language characterization; Cloning; Computer languages; Encoding; Music; Programming; Software systems; Visualization; Source code analysis; graphical programming; music analysis; music programming;