Test Generation for Performance Evaluation of Mobile Multimedia Streaming Applications

Al‐tekreeti, Mustafa; Naik, Kshirasagar; Abdrabou, Atef; Zaman, Musharraf; Srivastava, Pradeep

doi:10.5220/0006609302250236

Cited by 3 publications

(10 citation statements)

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“…To obtain the probability distribution, we employ distribution fitting using the first two moments: mean and variance . In our previous work, we have developed a network model for applications that transfer data using the UDP . In this work (in the Appendix), we develop a network model for applications that communicate using the TCP.…”

Section: The Proposed Methodologymentioning

confidence: 99%

“…The simulation model is used to verify the analytical model and in the test generation process as well. In our previous work, we have developed analytical and simulation performance models for group I applications . In Section , we show how performance models for group II applications are derived from the network model.…”

Section: The Proposed Methodologymentioning

confidence: 99%

“…That is, packet loss is negligible. A reusable network model for the UDP scenario was developed in our previous work . We have developed two analytical expressions for the mean and variance of packet inter‐arrival time delay.…”

Section: Using the Proposed Methodologymentioning

confidence: 99%

“…Analytical and simulation performance models were developed in our previous work . Given the network model, the behaviour model of the SUT, and the performance models, we can start applying the methodology procedure.…”

Section: Using the Proposed Methodologymentioning

confidence: 99%

“…An early version of the work has appeared in the conference MODELSWARD'2018 . In that version, the methodology was demonstrated for mobile applications of group I only.…”

Section: Introductionmentioning

confidence: 99%

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An end‐user‐centric test generation methodology for performance evaluation of mobile networked applications

Al‐tekreeti

Abdrabou

Naik

2019

Software Testing Verif & Rel

Self Cite

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We propose a model-based test generation methodology to evaluate the impact of the interaction of the wireless network and application configurations on the performance of mobile networked applications. We consider waiting time delay to model wireless network quality. We classify mobile applications into two groups. Group I represents applications where end-user experience is mainly affected by waiting time delay during service consumption, while group II represents applications where end-user experience is affected by waiting time delay before service consumption. Test generation is formulated as an inversion problem. However, for group I applications, solving the inversion problem is expensive. Therefore, we utilize metamorphic testing to mitigate the cost of test oracles. We formulate metamorphic test generation as maximization of the distance between seed and follow-up test cases. Two test coverage criteria are proposed: user experience and user-experience-and-input interaction. Network models are developed for a mobile device that has network access through a WiFi hot spot and uses either transmission control protocol or user datagram protocol. Two mobile applications are used to demonstrate the methodology: multimedia streaming and web browsing. Application of the methodology when user actions are taken into consideration is also addressed. The effectiveness of the methodology is evaluated using two metrics: the incurred time cost and redundancy in the generated test suite. The obtained results show the advantage of casting test generation as an inversion problem, compared with random testing. For apps with intensive performance models, combining metamorphic testing with the methodology has tremendously reduced the cost of test oracles. 15 of 38 state y. Therefore, the SUT desired behaviour introduces the following two constraints (Procedure 3.S1), where B, M , and L are defined as an integer number of multimedia frames:M Ä B and L Ä M 1:(4) 4.1.2. The wireless network model. The end user is streaming via a WiFi hot spot and using the UDP. We assume all the fluctuations in the wireless link and the queuing effects of the different routers along the path from the server to the client device manifest as a time delay. That is, packet loss is negligible. A reusable network model for the UDP scenario was developed in our previous work [15]. We have developed two analytical expressions for the mean and variance of packet interarrival time delay. The probability distribution was matched with the hyper-Erlang distribution. The network impact is captured by three operating parameters (NOPs): the data rate (D), the mean rate of frame arrivals into the access point ( ) per user, and the number of end users (N ) connected to the AP. The data rate according to the IEEE 802.11 a/g standard can be in one of the following values: 6, 9, 12, 18, 24, 32, 48, or 54 Mbps. It mainly relates to the quality of the wireless connection between the AP and the end user. Regarding the number of users N , the network model is validated...

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Section: The Proposed Methodologymentioning

confidence: 99%

Section: The Proposed Methodologymentioning

confidence: 99%

Section: Using the Proposed Methodologymentioning

confidence: 99%

Section: Using the Proposed Methodologymentioning

confidence: 99%

“…An early version of the work has appeared in the conference MODELSWARD'2018 . In that version, the methodology was demonstrated for mobile applications of group I only.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

An end‐user‐centric test generation methodology for performance evaluation of mobile networked applications

Al‐tekreeti

Abdrabou

Naik

2019

Software Testing Verif & Rel

Self Cite

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A Methodology for Generating Tests for Evaluating User-Centric Performance of Mobile Streaming Applications

Al‐tekreeti

Naik

Abdrabou

et al. 2019

Communications in Computer and Information Science

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An approach for performance requirements verification and test environments generation

2022

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Model-based testing (MBT) is a method that supports the design and execution of test cases by models that specify the intended behaviors of a system under test. While systematic literature reviews on MBT in general exist, the state of the art on modeling and testing performance requirements has seen much less attention. Therefore, we conducted a systematic mapping study on model-based performance testing. Then, we studied natural language software requirements specifications in order to understand which and how performance requirements are typically specified. Since none of the identified MBT techniques supported a major benefit of modeling, namely identifying faults in requirements specifications, we developed the Performance Requirements verificatiOn and Test EnvironmentS generaTion approach (PRO-TEST). Finally, we evaluated PRO-TEST on 149 requirements specifications. We found and analyzed 57 primary studies from the systematic mapping study and extracted 50 performance requirements models. However, those models don’t achieve the goals of MBT, which are validating requirements, ensuring their testability, and generating the minimum required test cases. We analyzed 77 Software Requirements Specification (SRS) documents, extracted 149 performance requirements from those SRS, and illustrate that with PRO-TEST we can model performance requirements, find issues in those requirements and detect missing ones. We detected three not-quantifiable requirements, 43 not-quantified requirements, and 180 underspecified parameters in the 149 modeled performance requirements. Furthermore, we generated 96 test environments from those models. By modeling performance requirements with PRO-TEST, we can identify issues in the requirements related to their ambiguity, measurability, and completeness. Additionally, it allows to generate parameters for test environments.

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Test Generation for Performance Evaluation of Mobile Multimedia Streaming Applications

Cited by 3 publications

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An end‐user‐centric test generation methodology for performance evaluation of mobile networked applications

An end‐user‐centric test generation methodology for performance evaluation of mobile networked applications

A Methodology for Generating Tests for Evaluating User-Centric Performance of Mobile Streaming Applications

An approach for performance requirements verification and test environments generation

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