Software Engineering Institute Carnegie Mellon

Staff Page for Ira A. Monarch

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Job title

Sr. member of the technical staff

Administrative home

Transition Enabling

Key responsibilities

Mr. Monarch is developing a scenario-based approach to collaboration technology evaluation. Scenarios are being derived through consolidation and distillation of information from three kinds of information sources using content analysis tools developed at SEI. The three sources are (1) descriptions of research applications and products being collected online as seeds for a forum on the WWW, (2) findings from process assessments and risk evaluations being collected and organized for the Software Engineering Information Repository (SEIR), (3) information derived from several field interventions, where software process engineering is underway focusing on practices designed for particular work contexts – current intervention is with CERT-ops. This work is independent of, though draws from, other work Mr. Monarch is doing at the SEI helping to build a community-wide WWW Software Engineering Information Repository.

Teams

Supporting Collaborative Processes (SCP)  Collaborative Technology Evaluation (CTE)  Software Engineering Information Repository (SEIR)  CERT-ops 


Professional Background

Previous to his current work, Mr. Monarch investigated the potential of collaborative information technologies for use in improving software engineering processes and building organizational and community memories. He developed and evaluated content analysis, information visualization, and information retrieval technologies to support the analysis, structuring, and use of software engineering textual data. As part of these activities, Mr. Monarch worked with various teams at the SEI to establish several software engineering information repositories for use in software risk and process improvement. Mr. Monarch has worked in natural language processing and concept based information systems at Carnegie Mellon University since 1981. He was one of the principal designers of ONTOS, a knowledge acquisition system used to build semantic representations for machine translation systems. He has developed information systems based on selective natural language processing and the automatic construction of thesauri.


Publications (recent or significant)


Education


Professional Memberships and Activities


Contact Information

Electronic mail address: iam@sei.cmu.edu

Phone: 412-268-7070

Fax:412-268-5758

Room: 5216