Applying Software Effort Estimation Model Based on Work Breakdown Structure

2012 ◽  
Author(s):  
Wen-Tin Lee ◽  
Kuo-Hsun Hsu ◽  
Jonathan Lee ◽  
Jong Yih Kuo
Keyword(s):  
Effort Estimation ◽  
Software Effort Estimation ◽  
Estimation Model ◽  
Work Breakdown Structure ◽  
Model Based

scholarly journals Causal-Effect Analysis using Bayesian LiNGAM Comparing with Correlation Analysis in Function Point Metrics and Effort

2018 ◽  
Vol 3 (2) ◽  
pp. 90-112 ◽  
Author(s):  
Masanari Kondo ◽  
Osamu Mizuno ◽  
Eun-Hye Choi
Keyword(s):  
Causal Effect ◽  
Task Assignment ◽  
Effort Estimation ◽  
Software Effort Estimation ◽  
Estimation Model ◽  
Effect Analysis ◽  
Explanatory Variables ◽  
Function Point ◽  
New Findings ◽  
Non Gaussian

Software effort estimation is a critical task for successful software development, which is necessary for appropriately managing software task assignment and schedule and consequently producing high quality software. Function Point (FP) metrics are commonly used for software effort estimation. To build a good effort estimation model, independent explanatory variables corresponding to FP metrics are required to avoid a multicollinearity problem. For this reason, previous studies have tackled analyzing correlation relationships between FP metrics. However, previous results on the relationships have some inconsistencies. To obtain evidences for such inconsistent results and achieve more effective effort estimation, we propose a novel analysis, which investigates causal-effect relationships between FP metrics and effort. We use an advanced linear non-Gaussian acyclic model called BayesLiNGAM for our causal-effect analysis, and compare the correlation relationships with the causal-effect relationships between FP metrics. In this paper, we report several new findings including the most effective FP metric for effort estimation investigated by our analysis using two datasets.

Duplex output software effort estimation model with self-guided interpretation

2018 ◽  
Vol 94 ◽  
pp. 1-13 ◽  
Author(s):  
Solomon Mensah ◽  
Jacky Keung ◽  
Michael Franklin Bosu ◽  
Kwabena Ebo Bennin
Keyword(s):  
Effort Estimation ◽  
Software Effort Estimation ◽  
Estimation Model

scholarly journals A Study on the Scale Effort Estimation Model based on Industry Characteristics

2016 ◽  
Vol 14 (11) ◽  
pp. 233-240
Author(s):  
Song-Hae Kwoak ◽  
Koo-Rack Park ◽  
Dong-Hyun Kim
Keyword(s):  
Effort Estimation ◽  
Estimation Model ◽  
Model Based

scholarly journals Fuzzy Optimization Algorithm for Software Cost Estimation

2020 ◽  
Vol 9 (3) ◽  
pp. 1549-1554
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Sets ◽  
Cost Estimation ◽  
Fuzzy Optimization ◽  
Effort Estimation ◽  
Software Effort Estimation ◽  
Estimation Model ◽  
Software Cost ◽  
Clear Cut ◽  
Linguistic Quantifiers

Estimation of a software cost depends on a probabilistic model and thus it doesn't create precise values. In any case, accessibility of good chronicled information combined with a efficient technique can create improved outcomes. This paper, we have displayed a Software Effort Estimation Model utilizing PSO and Fuzzy Logic. Fuzzy sets have been utilized for displaying uncertainty and imprecision in estimation of effort while PSO has been utilized for tuning parameters. This has been seen from the outcomes that Fuzzy-PSO intelligence gives precise outcomes when compared through its different partners. This system relies upon thinking by linguistic quantifiers and fuzzy logic. This kind of model holds well, when the product plans are communicated by absolute or potentially arithmetical data. Along these lines, this projected methodology improves the old style correlation process that doesn't think about clear cut data. In the fuzzy correlation model, fuzzy sets are used to describe both the clear cut and the arithmetical data.

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