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International KIET Journal of Software and Communication Technologies (IKJSCT)Volume 1, Issue 1, pp: 7-15, April 20133.5.4 GOMS; John and Kieras model [24]The Goals, Operators, Methods, and Selection rules(GOMS) model was designed for a specific taskwhich contains the methods to achieve the desiredgoals with the help of a software system. Thesemethods are considered as a series of operationsthat must be executed by the user while working onthat system. Furthermore goals can also be calledby a method to perform a task. Hence this modelhas a hierarchical structure. This model is used topredict the user performance in task analysis phase.Here user performance can be measured in tern oftime taken by user to perform the task. But thismodel lacks in verifying these predictions.3.5.5 NIST; Scholtz and Laskowski model [25]The National Institute of Standards andTechnology (NIST) Web Metrics provide s a set ofsix computer tools and different metrics whichprovide the support for remote, rapid andautomated testing and evaluation of web Usability.3.5.6 Quality in use integrated measurement(QUIM) [22]This model agglomerates various factors andmeasures all together. This model also defines therelationship among these factors, criteria andmetrics which are used to evaluate the Usability.This model defines the Usability with the help often factors. These factors are efficiency,effectiveness, safety, satisfaction, learnability,truthfulness, accessibility, usefulness, universalityand productivity. These all factors in this model areconsidered to be dependent and give the consistentdefinitions of these models. This model alsoprovides the QUIM editor which provides the toolsupport up to some extant for measuring theUsability to both expert users as well as to the userwhich are not familiar with Usability engineering.This model tried to provide a broader theory ofUsability measurement but it lacks in evaluatingthe Usability more empirically.3.5.7 Mohd. Haleem et al [26]This paper recognizes the Usability as the ―qualityin use‖. Here authors provide a new quality model12 | P a g ewhich is used to quantify the Usability matrices.This new proposed model is considered asframework to quantify and specify the quality inuse components. This model includes various typesof factors, criteria, matrices and also datacharacterized in different Human ComputerInterface and Software Engineering. It is ahierarchical model which can be viewed as thecombinations of other existing models. It differsfrom others in the way of decomposition of level ofUsability such as factors, criteria and metrics. Thismodel has Usability criteria in this model areeffectiveness, efficiency, satisfaction,internationability, Accessibility, Productivity,Safety, Learnability, Trustfulness, Universality,Adjustability, Portability, and Modifiability. Thismodel can be supportive for creations of Usabilitymeasurements plans only in the conditions wherespecific metrics are identified and defined certainhigher level goals of Usability such as satisfaction,learnability, and efficiency. It can be extended tosupport other broad field of engineering.3.5.8 Piyush Jain et al [27]Here authors have tried to evaluate the Usability ofsoftware through the use of fuzzy logic technique.Here Usability is defined as the factor of softwarequality model which deals with the userrequirements. Authors also tried to include theUsability engineering phase in the SDLC (SoftwareDevelopment Life Cycle) model to enhance thesoftware performance. This paper has given thedescription of some Usability estimation methodsand proposed a technique called fuzzy logic systemfor evaluating the software Usability. Thistechnique is more useful than other techniquesdescribed because this deals with the uncertainty.This technique can be used where conditions arenot constant and varies according to the time. Asuser requirements are also not constant and changesaccordingly so this technique is used. But for moreaccurate estimation of Usability we can use herethe combination of two techniques named as neuralnetwork and fuzzy system. This technique is calledneuro-fuzzy approach. This is more effectivebecause it combines the benefits of both thetechniques.