Modified Cocomo Model For Maintenance cost Estimation of Real Time System Software

Persistent Link:
http://hdl.handle.net/10150/219511
Title:
Modified Cocomo Model For Maintenance cost Estimation of Real Time System Software
Author:
Chakraverti, Sugandha; Kumar, Sheo; Agarwal, S. C.; Chakraverti, Ashish Kumar
Affiliation:
Department of CSE, MBU Solan, HP-173229, India; Department of Mathematics, KCCEC Greater Noida UP-201308, India; Department of CSE, BBDIT Ghaziabad, UP-201002, India
Publisher:
IJCSN
Journal:
International Journal of Computer Science and Network
Issue Date:
15-Feb-2012
Description:
Software maintenance is an important activity in software engineering. Over the decades, software maintenance costs have been continually reported to account for a large majority of software costs [Zelkowitz 1979, Boehm 1981, McKee 1984, Boehm 1988, Erlikh 2000]. This fact is not surprising. On the one hand, software environments and requirements are constantly changing, which lead to new software system upgrades to keep pace with the changes. On the other hand, the economic benefits of software reuse have encouraged the software industry to reuse and enhance the existing systems rather than to build new ones [Boehm 1981, 1999]. Thus, it is crucial for project managers to estimate and manage the software maintenance costs effectively.
URI:
http://hdl.handle.net/10150/219511
Additional Links:
http://ijcsn.org/publications.html
Abstract:
Accurate cost estimation of software projects is one of the most desired capabilities in software development Process. Accurate cost estimates not only help the customer make successful investments but also assist the software project manager in coming up with appropriate plans for the project and making reasonable decisions during the project execution. Although there have been reports that software maintenance accounts for the majority of the software total cost, the software estimation research has focused considerably on new development and much less on maintenance. Now if we talk about real time software system(RTSS) development cost estimation and maintenance cost estimation is not much differ from simple software but some critical factor are considered for RTSS development and maintenance like response time of software for input and processing time to give correct output. As like simple software maintenance cost estimation existing models (i.e. Modified COCOMO-II) can be used but after inclusion of some critical parameters related to RTSS. A Hypothetical Expert input and an industry data set of eighty completed software maintenance projects were used to build the model for RTSS maintenance cost. The full model, which was derived through the Bayesian analysis, yields effort estimates within 30% of the actual 51% of the time,outperforming the original COCOMO II model when it was used to estimate theseprojects by 34%. Further performance improvement was obtained when calibrating the full model to each individual program, generating effort estimates within 30% of the actual 80% of the time.
Type:
Article; Technical Report
Language:
en
Keywords:
COCOMO-II; RTSS; Bayesian analysis; Efforts Estimation
Series/Report no.:
IJCSN-2012-1-1-2
ISSN:
2277–5420

Full metadata record

DC FieldValue Language
dc.contributor.authorChakraverti, Sugandhaen_US
dc.contributor.authorKumar, Sheoen_US
dc.contributor.authorAgarwal, S. C.en_US
dc.contributor.authorChakraverti, Ashish Kumaren_US
dc.date.accessioned2012-04-20T02:17:53Z-
dc.date.available2012-04-20T02:17:53Z-
dc.date.issued2012-02-15-
dc.identifier.issn2277–5420-
dc.identifier.urihttp://hdl.handle.net/10150/219511-
dc.descriptionSoftware maintenance is an important activity in software engineering. Over the decades, software maintenance costs have been continually reported to account for a large majority of software costs [Zelkowitz 1979, Boehm 1981, McKee 1984, Boehm 1988, Erlikh 2000]. This fact is not surprising. On the one hand, software environments and requirements are constantly changing, which lead to new software system upgrades to keep pace with the changes. On the other hand, the economic benefits of software reuse have encouraged the software industry to reuse and enhance the existing systems rather than to build new ones [Boehm 1981, 1999]. Thus, it is crucial for project managers to estimate and manage the software maintenance costs effectively.en_US
dc.description.abstractAccurate cost estimation of software projects is one of the most desired capabilities in software development Process. Accurate cost estimates not only help the customer make successful investments but also assist the software project manager in coming up with appropriate plans for the project and making reasonable decisions during the project execution. Although there have been reports that software maintenance accounts for the majority of the software total cost, the software estimation research has focused considerably on new development and much less on maintenance. Now if we talk about real time software system(RTSS) development cost estimation and maintenance cost estimation is not much differ from simple software but some critical factor are considered for RTSS development and maintenance like response time of software for input and processing time to give correct output. As like simple software maintenance cost estimation existing models (i.e. Modified COCOMO-II) can be used but after inclusion of some critical parameters related to RTSS. A Hypothetical Expert input and an industry data set of eighty completed software maintenance projects were used to build the model for RTSS maintenance cost. The full model, which was derived through the Bayesian analysis, yields effort estimates within 30% of the actual 51% of the time,outperforming the original COCOMO II model when it was used to estimate theseprojects by 34%. Further performance improvement was obtained when calibrating the full model to each individual program, generating effort estimates within 30% of the actual 80% of the time.en_US
dc.language.isoenen_US
dc.publisherIJCSNen_US
dc.relation.ispartofseriesIJCSN-2012-1-1-2en_US
dc.relation.urlhttp://ijcsn.org/publications.htmlen_US
dc.subjectCOCOMO-IIen_US
dc.subjectRTSSen_US
dc.subjectBayesian analysisen_US
dc.subjectEfforts Estimationen_US
dc.titleModified Cocomo Model For Maintenance cost Estimation of Real Time System Softwareen_US
dc.typeArticleen_US
dc.typeTechnical Reporten_US
dc.contributor.departmentDepartment of CSE, MBU Solan, HP-173229, Indiaen_US
dc.contributor.departmentDepartment of Mathematics, KCCEC Greater Noida UP-201308, Indiaen_US
dc.contributor.departmentDepartment of CSE, BBDIT Ghaziabad, UP-201002, Indiaen_US
dc.identifier.journalInternational Journal of Computer Science and Networken_US
All Items in UA Campus Repository are protected by copyright, with all rights reserved, unless otherwise indicated.