Software effort estimation with a generalized robust linear regression technique

2012 ◽  
Author(s):  
L. Lavazza ◽  
S. Morasca
Keyword(s):  
Linear Regression ◽  
Regression Technique ◽  
Effort Estimation ◽  
Software Effort Estimation ◽  
Linear Regression Technique ◽  
Robust Linear Regression

scholarly journals The Influence of Service Quality, Trust and Customer Value on Customer Satisfaction at Gerai Indosat Ooredoo WTC Surabaya

2019 ◽  
Vol 2 (2) ◽  
pp. 95-104
Author(s):  
Eko Wahyu Nugroho ◽  
Elok Damayanti
Keyword(s):  
Linear Regression ◽  
Customer Satisfaction ◽  
Service Quality ◽  
Multiple Linear Regression ◽  
Customer Value ◽  
Quantitative Method ◽  
Regression Technique ◽  
Linear Regression Technique

The purpose of this research is to find out The Influence of Service Quality, Trust and Customer Value on Customers Satisfaction at Gerai Indosat Ooredoo WTC Surabaya in simultaneously and partially. This Research used quantitative method with 70 respondents of population and samples were collected by giving questionnaires to the customers who have bought Samsung’s Bundling Product from Gerai Indosat Ooredoo WTC Surabaya. The data was analyzed used multiple linear regression technique and classic assumption test. The results showed that the hypotheses have effects to Customers’s Satisfaction simultaneously and partially.

Regression Analysis Based Software Effort Estimation Method

2016 ◽  
Vol 26 (05) ◽  
pp. 807-826 ◽  
Author(s):  
Fatih Yücalar ◽  
Deniz Kilinc ◽  
Emin Borandag ◽  
Akin Ozcift
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Linear Regression Analysis ◽  
Estimation Method ◽  
Estimation Methods ◽  
Estimation Accuracy ◽  
Development Effort ◽  
Software Project ◽  
Effort Estimation ◽  
Software Effort Estimation

Estimating the development effort of a software project in the early stages of the software life cycle is a significant task. Accurate estimates help project managers to overcome the problems regarding budget and time overruns. This paper proposes a new multiple linear regression analysis based effort estimation method, which has brought a different perspective to the software effort estimation methods and increased the success of software effort estimation processes. The proposed method is compared with standard Use Case Point (UCP) method, which is a well-known method in this area, and simple linear regression based effort estimation method developed by Nassif et al. In order to evaluate and compare the proposed method, the data of 10 software projects developed by four well-established software companies in Turkey were collected and datasets were created. When effort estimations obtained from datasets and actual efforts spent to complete the projects are compared with each other, it has been observed that the proposed method has higher effort estimation accuracy compared to the other methods.

Sign in / Sign up

Export Citation Format

Share Document