Crawlability Metrics for Web Applications

Alshahwan, Nadia; Harman, Mark; Marchetto, Alessandro; Tiella, Roberto; Tonella, Paolo

doi:10.1109/icst.2012.95

Cited by 7 publications

(4 citation statements)

References 21 publications

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“…Section 5.4). More complex applications may require a manual specification of the input data and for web applications that have a very low crawlability [2], recall may be low.…”

Section: Summary and Discussionmentioning

confidence: 99%

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Mining Workflow Models from Web Applications

Schur

Röth

Zeller

2015

IIEEE Trans. Software Eng.

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Modern business applications predominantly rely on web technology, enabling software vendors to efficiently provide them as a service, removing some of the complexity of the traditional release and update process. While this facilitates shorter, more efficient and frequent release cycles, it requires continuous testing. Having insight into application behavior through explicit models can largely support development, testing and maintenance. Model-based testing allows efficient test creation based on a description of the states the application can be in and the transitions between these states. As specifying behavior models that are precise enough to be executable by a test automation tool is a hard task, an alternative is to extract them from running applications. However, mining such models is a challenge, in particular because one needs to know when two states are equivalent, as well as how to reach that state. We present ProCrawl (Process Crawler), a tool to mine behavior models from web applications that support multi-user workflows. ProCrawl incrementally learns a model by generating program runs and observing the application behavior through the user interface. In our evaluation on several real-world web applications, ProCrawl extracted models that concisely describe the implemented workflows and can be directly used for model-based testing.

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“…Section 5.4). More complex applications may require a manual specification of the input data and for web applications that have a very low crawlability [2], recall may be low.…”

Section: Summary and Discussionmentioning

confidence: 99%

“…However, for structured input data that is hard to generate, PROCRAWL has to rely on user defined input (cf. [2]). …”

Section: Input Data Provisioningmentioning

confidence: 93%

Mining Workflow Models from Web Applications

Schur

Röth

Zeller

2015

IIEEE Trans. Software Eng.

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“…In the second evaluation process, the questions to achieve the goals are elicited. The study used examples in previous research to guide in the development of the questions [54], [60]. The next process was to map the questions to the corresponding metrics.…”

Section: Relationship Matrixmentioning

confidence: 99%

A Conceptual Framework for Metrics Selection: SMeS

Bukhari¹,

Yahaya²,

Deraman³

2018

Int. J. Adv. Sci. Eng. Inf. Technol.

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Measurement is an emerging field of software engineering. A systematic and efficient measurement process can assist in the production of quality government web applications since it can support planning, monitoring, and improving the software development process. The quality of software products is often measured using the metrics-based method. Various types of software metrics have been suggested in the last three decades to measure software quality, track software progress, estimate effort and certify software products. However, the process of identifying and determining a suitable software metrics is still lacking in term of guidance and structure. Without an effective method to evaluate and select suitable metrics, the time spent for selecting the correct and relevant metrics may offset the advantages of using them. In this paper, using the Evaluation Theory as the base theory and building upon the integration of Goal Question Metric (GQM) approach, a conceptual framework of software metrics selection (SMeS) was proposed. The main elements of the proposed conceptual framework include goal-based metrics selection process integrating with GQM, evaluation criteria, reference standard, and synthesis technic in decision making mechanisms. The integrated framework produces a software metrics selection process which is more structured, transparent, and directive in choosing a set of relevant metrics that may help the organizations' measurement program. The result from this study improves the existing metrics software selection model and serves as a guideline in implementing a clear and practical software metrics selection.

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“…Alshahwan et al . propose several metrics to predict if an automatic crawler is sufficient to achieve high coverage of a web application's page structure. The metrics help to indicate when a random‐based automated test data generation strategy will not provide complete coverage of the application.…”

Section: Related Workmentioning

confidence: 99%

Configuring effective navigation models and abstract test cases for web applications by analysing user behaviour

Sprenkle

Pollock

Simko

2013

Software Testing Verif & Rel

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SUMMARYAs web applications become more complex and are used more pervasively, testing demands are increasing without corresponding automated support. One promising approach to automatic test generation is statistical model‐based testing, where logged user behaviour is used to build a usage‐based model of web application navigation, from which abstract test cases are generated. Executable test cases are then created by adding parameter values to the abstract test cases. Several researchers have proposed variations of this approach; however, no one has empirically examined the tradeoffs and implications of the different ways to represent user behaviour in a navigation model and the characteristics of the test cases automatically generated from different models. This paper reports on our exploratory study of automatically generated abstract test cases and the underlying usage‐based navigation models constructed from over 19,000 user sessions across five publicly deployed web applications. Our results suggest how web testers can easily configure statistical model‐based automatic test case generators for web applications toward generating tests closely related to user behaviour or toward new navigations without using large additional test resources. Copyright © 2013 John Wiley & Sons, Ltd.

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Crawlability Metrics for Web Applications

Cited by 7 publications

References 21 publications

Mining Workflow Models from Web Applications

Mining Workflow Models from Web Applications

A Conceptual Framework for Metrics Selection: SMeS

Configuring effective navigation models and abstract test cases for web applications by analysing user behaviour

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