Efficient effort estimation system viz. function points and quality assurance coverage

IET Software ◽  
2012 ◽  
Vol 6 (4) ◽  
pp. 335 ◽  
Author(s):  
H. Azath ◽  
R.S.D. Wahidabanu
Keyword(s):  
Quality Assurance ◽  
Effort Estimation ◽  
Function Points ◽  
Estimation System

scholarly journals EFFORT ESTIMATION MODELING OF E-GOVERNMENT APPLICATION DEVELOPMENT USING FUNCTION POINTS BASED ON TOR AND SRS DOCUMENT

2020 ◽  
Vol 3 (1) ◽  
pp. 5
Author(s):  
Noorlela Marcheta
Keyword(s):  
Cost Estimation ◽  
Functional System ◽  
Effort Estimation ◽  
Software Cost Estimation ◽  
Application Development ◽  
Cost Estimates ◽  
Software Cost ◽  
Information Systems Management ◽  
Function Points ◽  
Requirements Specifications

Software cost estimation is important for information systems management and is generally taught in software engineering courses especially to terms of the ever-increasing development of E-Government. A significant challenge for Software Sizing (SS) is to determine cost estimates based on TOR documents that do not yet contain complete Software Requirements Specifications (SRS). This study uses Function Points as one of the measurement methods that can make cost estimates and expert needs based on the desired functional system. On the other hand, there are cases where estimation needs after the SRS document have been made. Thus in this study, the authors discuss the implementation of SS based on TOR and SRS documents for E-Government. The results of this study indicate the closeness of the actual and estimated values of 81.9% for TOR and 93.4% for SRS.

scholarly journals Ontology Based Multiagent Effort Estimation System for Scrum Agile Method

IEEE Access ◽  
2017 ◽  
Vol 5 ◽  
pp. 25993-26005 ◽  
Author(s):  
Muhammad Adnan ◽  
Muhammad Afzal
Keyword(s):  
Effort Estimation ◽  
Agile Method ◽  
Estimation System

scholarly journals Exponential Effort Estimation Model Using Unadjusted Function Points

2008 ◽  
Vol 7 (6) ◽  
pp. 830-839 ◽  
Author(s):  
T.W. Koh ◽  
M.H. Selamat ◽  
A.A.A. Ghani
Keyword(s):  
Effort Estimation ◽  
Estimation Model ◽  
Function Points

Case study: Quality assurance and quality control techniques in an XML data conversion project

2012 ◽  
Author(s):  
Charlie Halpern-Hamu
Keyword(s):  
Quality Control ◽  
Quality Assurance ◽  
Counting Function ◽  
Data Conversion ◽  
Xml Data ◽  
Content Quality ◽  
Control Techniques ◽  
Function Points ◽  
Anomalous Data ◽  
Quality Control Techniques

A wide variety of techniques have been used in an XML data conversion project. Emphasis on Quality Assurance, not making errors in the first place, was supported by Quality Control, catching errors that occurred anyway. Data analysis and estimation techniques included counting function points in source documents to estimate effort and autogeneration of tight schemas to discover variation. Quality assurance was based on guiding specification based on parent-child pairs and programming for context and all content. Quality Control techniques included source-to-target comparison to check for lost or duplicated content, automatic highlighting of anomalous data, and use of XQuery to review data.

Ontology-Oriented Software Effort Estimation System for E-commerce Applications Based on Extreme Programming and Scrum Methodologies

2019 ◽  
Vol 62 (11) ◽  
pp. 1605-1624 ◽  
Author(s):  
Muhammad Adnan ◽  
Muhammad Afzal ◽  
Khadim Hussain Asif
Keyword(s):  
Description Logic ◽  
Extreme Programming ◽  
Effort Estimation ◽  
Software Effort Estimation ◽  
Software Projects ◽  
Measurement Methodology ◽  
Estimation System ◽  
Comparative Results ◽  
Project History ◽  
Functional Size

Abstract Presently, software industry is severely suffering from inaccurate effort estimation and inadequate unstructured or semi-structured project history management. In fact, both are difficult to accomplish and hence badly impact the software projects. We proposed improvements in the effort estimation and the project history management of e-commerce projects focusing on Extreme Programing (XP) and Scrum methodologies using ontology models in our software effort estimation system. Proposed system infers suitable estimate in the form of time, resources and lessons learnt as per the project leader’s requirements by using description logic and HermiT reasoner. To validate our approach, we have performed a case study comprising 20 Business-to-Consumer (B2C) web projects and performed comparative analysis on the collected efforts in both XP and Scrum contexts by applying (Mean Magnitude of Relative Error) MMRE and PRED(25) prediction accuracy measures. Likewise, software functional size of understudy e-commerce projects was measured using COSMIC functional size measurement methodology. Regression analysis of relations among actual COSMIC function points, estimated effort, and actual effort spent for the projects show better significance-F and R2 values for our approach. The comparative results show that overall proposed approach provides accurate estimates and significantly improves over planning poker and delphi methods by 10% and 30%, respectively.

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