Framework for evaluation and selection of the software packages: A hybrid knowledge based system approach

被引:72
作者
Jadhav, Anil S. [1 ]
Sonar, Rajendra M. [2 ]
机构
[1] Sinhgad Inst Management, Dept Comp, Pune 411041, Maharashtra, India
[2] Indian Inst Technol, Shailesh J Mehta Sch Management, Bombay 400076, Maharashtra, India
关键词
Software evaluation; Software selection; Knowledge based system; SIMULATION SOFTWARE; EXPERT-SYSTEM; CRITERIA; QUALITY;
D O I
10.1016/j.jss.2011.03.034
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
Evaluation and selection of the software packages is complicated and time consuming decision making process. Selection of inappropriate software package can turn out to be costly and adversely affects business processes and functioning of the organization. In this paper we describe (i) generic methodology for software selection, (ii) software evaluation criteria, and (iii) hybrid knowledge based system (HKBS) approach to assist decision makers in evaluation and selection of the software packages. The proposed HKBS approach employs an integrated rule based and case based reasoning techniques. Rule based reasoning is used to capture user needs of the software package and formulate a problem case. Case based reasoning is used to retrieve and compare candidate software packages with the user needs of the package. This paper also evaluates and compares HKBS approach with the widely used existing software evaluation techniques such as analytic hierarchy process (AHP) and weighted scoring method (WSM). (C) 2011 Elsevier Inc. All rights reserved.
引用
收藏
页码:1394 / 1407
页数:14
相关论文
共 50 条
[41]   ElementRank: Ranking Java']Java Software Classes and Packages using a Multilayer Complex Network-Based Approach [J].
Pan, Weifeng ;
Ming, Hua ;
Chang, Carl K. ;
Yang, Zijiang ;
Kim, Dae-Kyoo .
IEEE TRANSACTIONS ON SOFTWARE ENGINEERING, 2021, 47 (10) :2272-2295
[42]   A knowledge-based system for materials selection in mechanical engineering design [J].
Sapuan, SM .
MATERIALS & DESIGN, 2001, 22 (08) :687-695
[43]   Research on Expert System For Ball Mill Type Selection Based on Knowledge [J].
Xia, Jiansheng .
MATERIALS PROCESSING TECHNOLOGY II, PTS 1-4, 2012, 538-541 :3029-3033
[44]   Selection of a Flexible Machining Centre Through a Knowledge Based Expert System [J].
Boppana V. Chowdary ;
Srinivasarao Muthineni .
Global Journal of Flexible Systems Management, 2012, 13 (1) :3-10
[45]   Hybrid Use of Likert Scale-Based AHP and PROMETHEE Methods for Hazard Analysis and Consequence Modeling (HACM) Software Selection [J].
Caliskan, Emre ;
Aksakal, Erdem ;
Cetinyokus, Saliha ;
Cetinyokus, Tahsin .
INTERNATIONAL JOURNAL OF INFORMATION TECHNOLOGY & DECISION MAKING, 2019, 18 (05) :1689-1715
[46]   A framework for a knowledge-based system for risk management in concurrent engineering [J].
Caillaud, E ;
Gourc, D ;
Garcia, LA ;
Crossland, R ;
McMahon, C .
CONCURRENT ENGINEERING-RESEARCH AND APPLICATIONS, 1999, 7 (03) :257-267
[47]   TRANSELEX - A KNOWLEDGE-BASED APPROACH FOR THE SELECTION OF TRANSDUCERS USING A DYNAMIC DATABASE [J].
BARUA, A ;
RAY, S ;
SINHA, S .
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 1993, 6 (01) :73-75
[48]   Supplier Evaluation and Selection Based on Stochastic Dominance: A Quality-Based Approach [J].
Shu, Ming-Hung ;
Wu, Hsien-Chung .
COMMUNICATIONS IN STATISTICS-THEORY AND METHODS, 2014, 43 (14) :2907-2922
[49]   A hybrid service supplier selection approach based on variable precision rough set and VIKOR for developing product service system [J].
Geng, Xiuli ;
Liu, Qinming .
INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING, 2015, 28 (10) :1063-1076
[50]   A multi-period multi-objective optimization framework for software enhancement and component evaluation, selection and integration [J].
Mehlawat, Mukesh Kumar ;
Gupta, Pankaj ;
Mahajan, Divya .
INFORMATION SCIENCES, 2020, 523 :91-110