A MODEL TO EVALUATE VARIABLES IMPACTING THE PRODUCTIVITY OF SOFTWARE MAINTENANCE PROJECTS

被引：113
|
作者：
BANKER, RD
DATAR, SM
KEMERER, CF
机构：
[1] STANFORD UNIV,GRAD SCH BUSINESS,STANFORD,CA 94305
[2] CARNEGIE MELLON UNIV,SCH BUSINESS ADM,PITTSBURGH,PA 15213
[3] MIT,ALFRED P SLOAN SCH MANAGEMENT,CAMBRIDGE,MA 02139
来源：
MANAGEMENT SCIENCE | 1991年 / 37卷 / 01期
关键词：
SOFTWARE MAINTENANCE; SYSTEMS DEVELOPMENT LIFE-CYCLE; PRODUCTIVITY; DATA ENVELOPMENT ANALYSIS;
D O I：
10.1287/mnsc.37.1.1
中图分类号：
C93 [管理学];
学科分类号：
12 ; 1201 ; 1202 ; 120202 ;
摘要：
The cost of maintaining application software has been rapidly escalating, and is currently estimated to comprise from 50-80% of corporate information systems department budgets. In this research we develop an estimable production frontier model of software maintenance, using a new methodology that allows the simultaneous estimation of both the production frontier and the effects of several productivity factors. Our model allows deviations on both sides of the estimated frontier to reflect the impact of both production inefficiencies and random effects such as measurement errors. The model is then estimated using an empirical dataset of 65 software maintenance projects from a large commercial bank. The insights obtained from the estimation results are found to be quite consistent for reasonable variations in the specification of the model. Estimates of the marginal impacts of all of the included productivity factors are obtained to aid managers in improving productivity in software maintenance.
引用
收藏
页码：1 / 18
页数：18
相关论文
共 50 条
  • [1] Model for Improving Productivity Without Impacting Quality of Deliverables in IT Projects
    Mohapatra, Sanjay
    Sreejesh, S.
    INTERNATIONAL JOURNAL OF INFORMATION TECHNOLOGY PROJECT MANAGEMENT, 2014, 5 (02) : 14 - 29
  • [2] Structured development methods improve productivity on software maintenance projects?
    Joseph, DA
    Cerveny, RP
    Sanders, GL
    DECISION SCIENCES INSTITUTE, 1997 ANNUAL MEETING, PROCEEDINGS, VOLS 1-3, 1997, : 873 - 875
  • [3] SMCMM model to evaluate and improve the quality of the software maintenance process
    April, A
    Abran, A
    Dumke, RR
    CSMR 2004: EIGHTH EUROPEAN CONFERENCE ON SOFTWARE MAINTENANCE AND REENGINEERING, PROCEEDINGS, 2004, : 243 - 248
  • [4] PRODUCTIVITY IMPROVEMENTS IN SOFTWARE MAINTENANCE
    KETLER, K
    TURBAN, E
    INTERNATIONAL JOURNAL OF INFORMATION MANAGEMENT, 1992, 12 (01) : 70 - 82
  • [5] Factors Impacting Defect Density in Software Development Projects
    Dayyala, Niharika
    Walstrom, Kent A.
    Bagchi, Kallol K.
    Udo, Godwin
    INTERNATIONAL JOURNAL OF INFORMATION TECHNOLOGIES AND SYSTEMS APPROACH, 2022, 15 (01)
  • [6] An ontology for the management of software maintenance projects
    Ruiz, F
    Vizcaíno, A
    Piattini, M
    García, F
    INTERNATIONAL JOURNAL OF SOFTWARE ENGINEERING AND KNOWLEDGE ENGINEERING, 2004, 14 (03) : 323 - 349
  • [7] Towards Effective Productivity Measurement in Software Projects
    de Aquino Junior, Gibeon Soares
    de Lemos Meira, Silvio Romero
    2009 FOURTH INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING ADVANCES (ICSEA 2009), 2009, : 241 - 249
  • [8] Calibrating Productivity Drivers for Software Customisation Projects
    Hasan, Md Mahmudul
    Lokan, Chris
    2013 20TH ASIA-PACIFIC SOFTWARE ENGINEERING CONFERENCE (APSEC 2013), VOL 2, 2013, : 43 - 48
  • [9] An Analysis of Effort Variance in Software Maintenance Projects
    Sarang, Nita
    Sanglikar, Mukund A.
    ADVANCES IN COMPUTER AND INFORMATIOM SCIENCES AND ENGINEERING, 2008, : 366 - +
  • [10] Modelling software corrective maintenance productivity using an analytical economic model and simulation
    Huang, Kai
    Kong, Xiaoying
    Sandrasegaran, Kumbesan
    INTERNATIONAL JOURNAL OF COMPUTER APPLICATIONS IN TECHNOLOGY, 2016, 54 (02) : 77 - 88
12345