{"type":"ScholarlyArticle","title":"Source Code Informal Information Analysis Using Connectionist Models","authors":[{"name":"Ettore Merlo","slug":"ettore-merlo","given":"Ettore","family":"Merlo","affiliation":""},{"name":"Ian McAdam","slug":"ian-mcadam","given":"Ian","family":"McAdam","affiliation":""},{"name":"Renato de Mori","slug":"renato-de-mori","given":"Renato","family":"de Mori","affiliation":""}],"abstract":"Design recovery, a part of the reverse engineering process of a program, must supply a programmer with all the information they need to fully understand a program or a system. In this paper, a connectionist method is proposed for analyzing the informal information (comments and mnemonics) in a program that can be used for design recovery in conjunction with more traditional approaches. A connectionist model was chosen because of its properties of being robust (capable of tolerating noisy inputs), it's associative memory ability (capable of retrieving a concept given only the context of the input word that originally ftred the concept), and it's generalization ability (learn conceptually relevant micro-features of the domain). This approach uses a combination of top down domain analysis (the creation of a concept hierarchy by a domain expert, to be used in the formation of the training set) and a bottom up approach (the analysis of the informal information using the network).","doi":null,"url":"https://ijcai.org/proceedings/1993/185","pdf":"https://ijcai.org/proceedings/1993/0185.pdf","markdown":"https://ijcai.org/proceedings/1993/185.md","bibtex":"https://ijcai.org/proceedings/1993/bibtex/185","volume":{"slug":"1993","title":"Proceedings of the Thirteenth International Joint Conference on Artificial Intelligence","short_title":"IJCAI 1993","url":"https://ijcai.org/proceedings/1993/","year":1993,"location":"Chambéry, France","dates":"","editors":"Ruzena Bajcsy","isbn":"","publisher":"International Joint Conferences on Artificial Intelligence","doi_prefix":""},"section":"Neural Networks","track":"Neural Networks","number":185,"pages":{"first":1339,"last":1344},"keywords":[],"videos":[],"references":[],"license_note":"Copyright International Joint Conferences on Artificial Intelligence."}