Taxonomy of GUM and Usability Prediction Using GUM Multistage Fuzzy Expert System

Deepak Gupta; Anil Ahlawat Maharaja Agrasen

doi:10.34028/iajit

Article Details

Taxonomy of GUM and Usability Prediction Using GUM Multistage Fuzzy Expert System

Authors:

Deepak Gupta | Anil Ahlawat Maharaja Agrasen

Publisher:

Zarqa University, Jordan

Journal:

The International Arab Journal of Information Technology (IAJIT) Vol.16 Issue 3, pp.35-41

Document Type:

Article

Publication Date:

1/2019

Document Language:

English

Document ID (Org No.):

2001389247

pISSN:

2309-4524

DOI:

10.34028/iajit

Keywords:

Abstract:

 The evaluation of quality of software is an important aspect for controlling, managing so that we can be able to 
enhance the improvement in a software process. For such evaluation, many factors have been identified by a number of 
researchers. The quality of software is further dependent on many other factors. Usability of software is one of the most 
significant aspect on which quality of software is dependent. Many researchers proposed a number of software usability 
models, each model considering a set of usability factors but these models do not include all the usability aspects and it is hard 
to integrate these models into current software engineering practices. As far as real world is concerned, we are facing many 
obstacles in implementing any of these proposed models as there is a lack in its precise definition and the concept of globally 
accepted usability. This paper aims to define the term ‘usability’ using the Generalized Usability Model (GUM). GUM is 
proposed with detailed taxonomy for specifying and identifying the quality components, which brings together factors, 
attributes and characteristics defined in various Human Computer Interaction (HCI) and Software Models. This paper also 
shows how to predict the usability of a software application using a fuzzy based expert system which has been implemented 
using multistage fuzzy logic toolbox.

Article Details

Taxonomy of GUM and Usability Prediction Using GUM Multistage Fuzzy Expert System

Authors:

Deepak Gupta | Anil Ahlawat Maharaja Agrasen

Publisher:

Zarqa University, Jordan

Journal:

The International Arab Journal of Information Technology (IAJIT) Vol.16 Issue 3, pp.35-41

Document Type:

Article

Publication Date:

1/2019

Document Language:

English

Document ID (Org No.):

2001389247

pISSN:

2309-4524

DOI:

10.34028/iajit

Quality of software

usability

factors

GUM

evaluation

fuzzy logic

soft computing

Issues

Article Details

Authors: Deepak Gupta | Anil Ahlawat Maharaja Agrasen

Publisher: Zarqa University, Jordan

Journal: The International Arab Journal of Information Technology (IAJIT) Vol.16 Issue 3, pp.35-41

Document Type: Article

Publication Date: 1/2019

Document Language: English

Document ID (Org No.): 2001389247

pISSN: 2309-4524

DOI: 10.34028/iajit

Issues

Authors:

Deepak Gupta | Anil Ahlawat Maharaja Agrasen

Publisher:

Zarqa University, Jordan

Journal:

The International Arab Journal of Information Technology (IAJIT) Vol.16 Issue 3, pp.35-41

Document Type:

Article

Publication Date:

1/2019

Document Language:

English

Document ID (Org No.):

2001389247

pISSN:

2309-4524

DOI:

10.34028/iajit