A controlled experiment to assess the benefits of estimating with analogy and regression models

Software Quality Estimation using Machine Learning: Case-based Reasoning Technique

“…For this reason they urge some degree of caution when comparing competing estimation systems and only modest numbers of cases. Myrtveit et al in [6] and Ganesan et. al in [7] have also studied case based approach to development effort estimation.…”

Software source code sizing using fuzzy logic modeling

“…This is an important issue in terms of gaining the trust of project managers. Evidence suggests that managers are more likely to use a method that they trust, and that trust comes from understanding the process by which the estimates are derived (Myrtveit and Stensrud 1999;Sauter 1999).…”

“…The potential of such methods has been demonstrated in domains other than software engineering for some time, and in the last decade such methods have been increasingly adopted by software engineering researchers. For example, the capabilities of neural networks in analyzing software engineering data sets have been assessed among others by Khoshgoftaar and Lanning (1995), Lee et al (1998) and Mair et al (2000), case-based reasoning and analogy methods have been investigated by Shepperd and Schofield (1997), Myrtveit and Stensrud (1999) and Walkerden and Jeffery (1999), and fuzzy logic has been investigated by Kumar et al (1994), Ebert (1997), Yau and Tsoi (1998) and Piattini et al (2001). More recently, genetic algorithms have also been considered as potentially useful in analyzing software engineering data (Shukla 2000).…”

ERP Implementation Effort Estimation Using Data Envelopment Analysis

“…Compared to the results of Myrtveit and Stensrud [20], who have used analogy-based and multiple r egression for estimating their dataset of ERP projects, the results are comparable but do not point to DEA as a generally better performing estimation methodology. They r eport an MMRE o f 126 for practitioners using a multiple regression model (MdMRE of 43), of 136 for practitioners using the analogy tool (MdMRE of 51), and for the tools alone of 127 (MdMRE 35) for multiple regression respective 154 (MdMRE 52) for the analogy tool.…”

“…Given a large and diverse enough database, machine-learning approaches like for example regression trees [18] or analogy-based estimation [19]m ight prove helpful. Myrtveit and Stensrud [20] have detailed the usage of analogy-based estimation and multiple regression in this context, but could not prove the first one to generally outperform the latter. In this paper, we will describe how DEA can be applied to this problem.…”