TY  - JOUR
PB  - Institute of Advanced Scientific Research, Inc.
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-85059514454&partnerID=40&md5=e0117d076423ae99d788b707352ca328
ID  - scholars20318
AV  - none
JF  - Journal of Advanced Research in Dynamical and Control Systems
Y1  - 2018///
N1  - Cited by: 1
A1  - Hakimi, Halimaton
A1  - Kamalrudin, Massila
A1  - Pradana, Aditya
A1  - Sidek, Safiah
N2  - Planning is crucial in software development process since any error that happens in this phase may cause unexpected outcome to the development, especially when it involves cost estimation. It is believed that high cost in estimation may cause a project to collapse. Therefore, new algorithms and software tools are developed to overcome this problem. Most of the new algorithms and tool supports are based on the COCOMO model and some are based on the assumptions of different parameters used to measure the results. This paper analyzed a total of 20 papers to investigate the effectiveness of the new tool support in comparison to the existing as well as to discuss the findings of new parameters that has been used in estimation of cost in software development projects. The review is systematically conducted and the result shows that Error rate and ETP (Effort, Time, People) parameters are commonly used estimation and comparison. © 2018, Institute of Advanced Scientific Research, Inc.. All rights reserved.
IS  - 10 Spe
SN  - 1943023X
VL  - 10
TI  - A review of using software cost estimation tools in software development process
ER  -