Automated Project Cost Estimation : Using Analogies

The ANGEL Project

The Empirical Software Engineering Research Group (ESERG) at Bournemouth University, UK have been involved with the use of estimation by analogy techniques (case-based reasoning) for since the mid 1990s. ANGEL and archANGEL are software tools that support this approach to prediction.

ESERG anounces the release of archANGEL - the latest ANGEL software

ArchANGEL provides substancial increases in functionality and performance over ANGEL Plus and has backward compatibility with ANGEL Plus data files.

System requirements:
ArchANGEL is written in Java and requires the 1.4 Java runtime environment (download here).

Installation instructions: readme.txt

Download ArchANGEL

Note: This software is in a beta realease and currently has only limited help information. It is made available on an "as is" basis without warranty and on the understanding that it will not be made available to other parties without these conditions being attached. ArchANGEL may not be sold or included within any other system that is used for commercial purposes.

The full release version of ArchANGEL (including complete help documentation) will be available here shortly.

About the ANGEL project

Background on the ANGEL project.


ANGEL Plus 2.02

ANGELPlus 2.02 is still available if required.

There are still a number of known problems.

1. Any predicted feature must be an integer. This can be addressed by simply changing units, for example from person-months to person-hours
2. The import facility requires the source data to be a formatted as a text file as follows:

begin_source
FeatureName1,FeatureName2, ...,n
FeatureValue1,FeatureValue2, ...,n
end_source

The dataset template must then be manually edited to describe each feature type, its priority (if in doubt NORMAL)and to switch the features on/off. Use the space bar to toggle through admissable values.

download ANGELplus (v. 2.02) for FREE.

report bugs in ANGEL.

list of bugs in ANGEL.

simple example of using ANGELplus.


Acknowledgements

This research was partly funded by grant (Grant GR/L37298) from the UK Engineering and Physical Sciences Research Council and the Defence Evaluation Research Agency.


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Martin Shepperd - 11/7/2002
Email: mshepper@bmth.ac.uk