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  • 标题:Modified Cocomo Model For Maintenance cost Estimation of Real Time System Software
  • 本地全文:下载
  • 作者:Sugandha Chakraverti ; Prof Sheo Kumar ; Dr. S.C. Agarwal
  • 期刊名称:International Journal of Computer Science and Network
  • 印刷版ISSN:2277-5420
  • 出版年度:2012
  • 卷号:1
  • 期号:1
  • 出版社:IJCSN publisher
  • 摘要:Accurate cost estimation of software projects isone of the most desired capabilities in softwaredevelopment Process. Accurate cost estimates not only helpthe customer make successful investments but also assistthe software project manager in coming up with appropriateplans for the project and making reasonable decisionsduring the project execution. Although there have beenreports that software maintenance accounts for themajority of the software total cost, the software estimationresearch has focused considerably on new development andmuch less on maintenance. Now if we talk about real timesoftware system(RTSS) development cost estimation andmaintenance cost estimation is not much differ from simplesoftware but some critical factor are considered for RTSSdevelopment and maintenance like response time ofsoftware for input and processing time to give correctoutput. As like simple software maintenance cost estimationexisting models (i.e. Modified COCOMO-II) can be usedbut after inclusion of some critical parameters related toRTSS.A Hypothetical Expert input and an industry data set ofeighty completed software maintenance projects were usedto build the model for RTSS maintenance cost. The fullmodel, which was derived through the Bayesian analysis,yields effort estimates within 30% of the actual 51% ofthe time,outperforming the original COCOMO II modelwhen it was used to estimate theseprojects by 34%.Further performance improvement was obtained whencalibrating the full model to each individual program,generating effort estimates within 30% of the actual 80%of the time.
  • 关键词:COCOMO-II; RTSS; Bayesian analysis; Efforts;Estimation.
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