International Business Machines Corporation

Hao Ac Chen

Qi Cheng Li

Xin Zhou

Shao Chun Li

Chuang Gan

Ya Bin Dang

Li Jun Mei

Lijun Mei

Guang Tai Lt Liang

Techniques for topology based interoperability determination for an information technology (IT) infrastructure are described herein. An aspect includes receiving a replacement notification for an element of an IT infrastructure. A topology subgraph corresponding to the element is generated based on a topology graph of the IT infrastructure. A plurality of replacement candidates for the element is determined. A respective interoperability subgraph based on the topology subgraph is generated for each replacement candidate of the plurality of replacement candidates. A recommended replacement candidate is selected from the plurality of replacement candidates based on the generated interoperability subgraphs.

Topology based interoperability determination for information technology infrastructure

A fine-grained behavior model matching based method and system for effective feature location in large legacy systems. A feature behavior analyzer extracts internal behaviors of a feature under requesting based on NLP techniques or writing rules of the feature specification and generates a feature behavior model. A method uses multiple information sources associated with each method under analyzing to generate an expressive behavior signature for each method. The method integrates control flow information of each method and the signature information of its callees, and generates a CFG-based behavior model. A feature location identifier identifies and ranks the feature-related code locations based on a similarity between the feature behavior and the code behavior models. In one aspect, 'use cases', 'source code repository' and &#x201c;issue tracking system&#x201d; are historical information of existing applications that are used to help understand each code unit of legacy systems applications, and recommend code units related with the given feature description.

Effective feature location in large legacy systems

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Beijing, China

Hao Ac Chen