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Chi Y. Lin

dblp:75/567 · DBLP profile ↗
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3ranked-venue papers
2as first author
0since 2021 · last 1997
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Software engineering, systems software and programming languages · 3 · 2 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Software engineering, system software, and programming languages
1 paper
Requirements engineering and software design · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Requirements engineering and software design › software process
project planning
0.011989
Computer-Aided Software Development Process Design · IEEE Trans. Software Eng. 1989
Requirements engineering and software design › software process
software process modeling
0.011989
Computer-Aided Software Development Process Design · IEEE Trans. Software Eng. 1989

Methods — techniques the papers use, named apart from their topics

system dynamics · 0.0simulation · 0.0expert system · 0.0
YearPublicationVenuePosition
1997 Software-Engineering Process Simulation model (SEPS)
Chi Y. Lin, Tarek K. Abdel-Hamid, Joseph S. Sherif
J. Syst. Softw.1
1991 Modelling the Software Development Process Using an Expert Simulation System Having Fuzzy Logic
abstract
Abstract This paper describes an intelligent computerized tool designed to aid managers of software development projects in planning, managing and controlling the development process of medium‐ to large‐scale software projects. Systems dynamics is used to model and simulate the dynamic process of software development. The software development process is affected by some imprecise and vague variables that are treated as fuzzy variables. The simulation model is integrated with two expert systems. The fuzzy input variables to the system dynamics simulation model are handled by an input expert system having fuzzy logic. This expert system is designed to check the consistency of input variables. The simulation results are analysed by an output expert system having fuzzy logic. This expert system is designed to make recommendations based on experimentation with the simulation model.
Reuven R. Levary, Chi Y. Lin
Softw. Pract. Exp.2
1989 Computer-Aided Software Development Process Design
abstract
The authors describe an intelligent tool designed to aid managers of software development projects in planning, managing, and controlling the development process of medium- to large-scale software projects. Its purpose is to reduce uncertainties in the budget, personnel, and schedule planning of software development projects. It is based on dynamic models for the software development and maintenance life-cycle process. This dynamic process is composed of a number of time-varying, interacting developmental phases, each characterized by its intended functions and requirements. System dynamics is used as a modeling methodology. The resulting software life-cycle simulator (SLICS) and the hybrid expert simulation system of which it is a subsystem are described.>
Chi Y. Lin, Reuven R. Levary
IEEE Trans. Software Eng.1