Incorporating software reliability engineering into the test process for an extensive GUI-based network management system

Donovan, D.; Dislis, C.; Murphy, Raymond E.; Unger, Stephanie; Kenneally, C.; Young, J. M.; Sheehan, Lucia

doi:10.1109/issre.2001.989457

Cited by 2 publications

(4 citation statements)

References 2 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…According to [9], [10], [14], [17], [20], [35], [47], [48], usability, dependability, availability, and maintainability are the basic fundamental quality metrics that should be evaluated for high performance systems e.g. IoT system, to increase the reliability and efficiency of the system.…”

Section: Reliability Evaluation Model For Internet Of Thingsmentioning

confidence: 99%

Reliability Evaluation Metrics for Internet of Things, Car Tracking System: A Review

Thomas¹,

Rad²

2017

IJITCS

View full text Add to dashboard Cite

Abstract-As technology continues to advance, the need to create benchmark or standards for systems becomes a necessity so as to ensure that these new advanced systems functions at its maximum capacity over a long period of time without any failure, fault or errors occurring. The internet of things technology promises a broad range of exciting products and services, with car tracking technology as part of the broad range of technological concept under the internet of things paradigm. The car tracking technology involves deploying some basic internet of things components into the tracking of important transportation component; the basic principle behind any technological concept involves delivery of high quality product that conforms to specifications. In this paper, the concept and technological description about the internet of things is discussed with emphasis on the principal functional component, this is to enable a broaden conceptualization about car tracking technology because it needs to function correctly, at all time. The concept of reliability engineering is also discussed in respect to an important quality factor, which entails that systems must function correctly without fault, failure or errors, it provides benchmark, principles, or standards in which the internet of things system must possess for an increased quality assurance.

show abstract

Section: Reliability Evaluation Model For Internet Of Thingsmentioning

confidence: 99%

Reliability Evaluation Metrics for Internet of Things, Car Tracking System: A Review

Thomas¹,

Rad²

2017

IJITCS

View full text Add to dashboard Cite

show abstract

“…These profiles can be used to identify critical failures in a GUI application; be used to partition users into classes of users and develop test cases accordingly; be annotated based on expected or actual usage of the application; and be used to determine testing coverage, updating the profile to reflect success or failure [1,5,17,20].…”

Section: Usage Profile-based Testingmentioning

confidence: 99%

“…where F (suite, history) is the number of faults detected by suite with a history value of history 5 . Test suite effectiveness was determined by running each test case on each subject application.…”

Section: Empirical Studymentioning

confidence: 99%

“…The JavaGUIRipper, one of the tools in the GUITAR suite, was used to glean the structure of the subject applications. By using Java Reflection, 5 History only applies to the pefg test suite, given as a parameter to the model the JavaGUIRipper creates an XML file that represents the windows, menu items, and buttons present in the GUI, including the actions that are executed when those items are selected.…”

Section: Infrastructurementioning

confidence: 99%

See 1 more Smart Citation

Automated gui testing guided by usage profiles

Brooks

Memon

2007

Proceedings of the Twenty-Second IEEE/ACM International Conference on Automated Software Engineering

View full text Add to dashboard Cite

Most software developed in recent years has a graphical user interface (GUI). The only way for the end-user to interact with the software application is through the GUI. Hence, acceptance and system testing of the software requires GUI testing. This paper presents a new technique for testing of GUI applications. Information on the actual usage of the application, in the form of "usage profiles," is used to ensure that a new version of the application will function correctly. Usage profiles, sequences of events that end-users execute on a GUI, are used to develop a probabilistic usage model of the application. An algorithm uses the model to generate test cases that represent events the user is most likely to execute. Reverse engineering methods are used to extract the underlying structure of the application. An empirical study on four open source GUI applications reveals that test suites generated from the probabilistic model are 0.2-22% of the size of test suites produced directly from usage profiles. Furthermore, the test suites generated from the model detect more faults per test case than those detected directly from the usage profiles, and detect faults not detected by the original profiles.

show abstract

Incorporating software reliability engineering into the test process for an extensive GUI-based network management system

Cited by 2 publications

References 2 publications

Reliability Evaluation Metrics for Internet of Things, Car Tracking System: A Review

Reliability Evaluation Metrics for Internet of Things, Car Tracking System: A Review

Automated gui testing guided by usage profiles

Contact Info

Product

Resources

About