Applying Erlang Distribution for Software Size Estimation

2011 ◽  
pp. 44-52
Author(s):  
Derek F.W. Cheung ◽  
Ho-Leung Tsoi
Keyword(s):  
Program Evaluation ◽  
Basic Assumption ◽  
Expert Judgment ◽  
Erlang Distribution ◽  
Development Effort ◽  
Size Estimation ◽  
New Model ◽  
Software Size Estimation

The Program Evaluation and Review Technique (PERT) model is one of the most popular methods for estimating software size and, sometimes, development effort. It mainly relies on expert judgment to estimate the ultimate size of a project. However, the basic assumption of this technique may be incorrect. The issue addressed in this paper concerns the weakness of the PERT model and proposes applying Erlang distribution to tackle this problem. An example has been included to show the effectiveness of this new model.

scholarly journals Using Actors and Use Cases for Software Size Estimation

Electronics ◽  
2021 ◽  
Vol 10 (5) ◽  
pp. 592
Author(s):  
Radek Silhavy ◽  
Petr Silhavy ◽  
Zdenka Prokopova
Keyword(s):  
Project Planning ◽  
Use Cases ◽  
New Method ◽  
Software Systems ◽  
Software Project ◽  
Use Case ◽  
Size Estimation ◽  
Software Size Estimation ◽  
Use Case Points

Software size estimation represents a complex task, which is based on data analysis or on an algorithmic estimation approach. Software size estimation is a nontrivial task, which is important for software project planning and management. In this paper, a new method called Actors and Use Cases Size Estimation is proposed. The new method is based on the number of actors and use cases only. The method is based on stepwise regression and led to a very significant reduction in errors when estimating the size of software systems compared to Use Case Points-based methods. The proposed method is independent of Use Case Points, which allows the elimination of the effect of the inaccurate determination of Use Case Points components, because such components are not used in the proposed method.

A New Model for Bearing Spall Size Estimation Based on Oil Debris

2021 ◽  
pp. 106011
Author(s):  
Eyal Madar ◽  
Ofir Galiki ◽  
Renata Klein ◽  
Jacob Bortman ◽  
Jeremy Nickell ◽  
...  
Keyword(s):  
Size Estimation ◽  
New Model ◽  
Oil Debris
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