Model-based testing as a service

Herbold, Steffen; Hoffmann, Andreas

doi:10.1007/s10009-017-0449-2

Cited by 5 publications

(4 citation statements)

References 13 publications

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“…Indeed, each service receives a MIDAS DSL model as input and generates test cases for the input model, based on its own test scenario. There are also other services for test case prioritization, scheduling, transformation to the TTCN-3 test code, execution, and arbitration [4,[9][10][11][12]14].…”

Section: Previous Attemptsmentioning

confidence: 99%

Challenges & opportunities in low-code testing

Khorram

Mottu

Sunyé

2020

Proceedings of the 23rd ACM/IEEE International Conference on Model Driven Engineering Languages and Systems: Companion Proceedi

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Low-code is a growing development approach supported by many platforms. It fills the gap between business and IT by supporting the active involvement of non-technical domain experts, named Citizen Developer, in the application development lifecycle.Low-code introduces new concepts and characteristics. However, it is not investigated yet in academic research to point out the existing challenges and opportunities when testing low-code software. This shortage of resources motivates this research to provide an explicit definition to this area that we call it Low-Code Testing.In this paper, we initially conduct an analysis of the testing components of five commercial Low-Code Development Platforms (LCDP) to present low-code testing advancements from a business point of view. Based on the low-code principles as well as the result of our analysis, we propose a feature list for low-code testing along with possible values for them. This feature list can be used as a baseline for comparing low-code testing components and as a guideline for building new ones. Accordingly, we specify the status of the testing components of investigated LCDPs based on the proposed features. Finally, the challenges of low-code testing are introduced considering three concerns: the role of citizen developer in testing, the need for high-level test automation, and cloud testing. We provide references to the state-of-the-art to specify the difficulties and opportunities from an academic perspective. The results of this research can be used as a starting point for future research in low-code testing area. CCS CONCEPTS• Software and its engineering → Software testing and debugging.

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Section: Previous Attemptsmentioning

confidence: 99%

Challenges & opportunities in low-code testing

Khorram

Mottu

Sunyé

2020

Proceedings of the 23rd ACM/IEEE International Conference on Model Driven Engineering Languages and Systems: Companion Proceedi

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“…The Workflow platform as a service (WaaS) [Fan, Hussain and Hussain (2015)] supports users to define, and integrate workflow based applications to facilitate the rapid development of cloud computing. In Herbold et al [Herbold and Hoffmann (2017)], authors propose the modelbased testing as a service to deal with the complexity of the Web service based on using cloud infrastructures. Additionally, many studies of integrating cloud services architecture with various application domains have been reported recently by researchers [Mohamadi Bahram Abadi, Rahmani and Alizadeh (2018); Borangiu, Trentesaux, Thomas et al (2019); Deng, Ren, Liu et al (2019); Feng, Wu, Zhang et al (2019)].…”

Section: Related Workmentioning

confidence: 99%

XML-Based Information Fusion Architecture based on Cloud Computing Ecosystem

Hsu¹

2019

Computers, Materials &Amp; Continua

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Considering cloud computing from an organizational and end user computing point of view, it is a new paradigm for deploying, managing and offering services through a shared infrastructure. Current development of cloud computing applications, however, are the lack of a uniformly approach to cope with the heterogeneous information fusion. This leads cloud computing to inefficient development and a low potential reuse. This study addresses these issues to propose a novel Web 2.0 Mashups as a Service, called WMaaS, which is a fundamental cloud service model. The WMaaS is developed based on a XML-based Mashups Architecture (XMA) that is composed of Web 2.0 Mashups technologies, including Web Data, Web API, Web Interaction, and Web Presentation to associate with existing service models. To demonstrate the feasibility of this approach, this study implemented a Ubiquitous Location-based Service System (ULSS) that is a cloud computing application developed based on WMaaS to provide continuous and location-based schedule information for organization monitoring and end user needs.

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“…(1) input: -the original trace (2) deps -map of sv to its dependence relations (3) output: scheduleSeq -sequence of thread schedule (4) begin (5) for ← 1 to | | − 1 do (6) [ ] ← the thread identifier of the event [ ]; (7) ← the latest event whose thread identifier is [ ] ; (8) ← the location of in the new trace; (9) if [ ].getDep() = null then (10) insert [ ] immediately after ; (11) else (12) ← [ ].getDep(); (13) ← the location of in the new trace; (14) if < then (15) insert [ ] immediately after ; (16) end if (17) end if (18) end for (19) end…”

Section: Experimental Configurationsmentioning

confidence: 99%

“…Cloud computing organizes and integrates different computing resources (including software and hardware), providing end-users with different services in remote location over the Internet. Testing-as-a-Service (TaaS) based on cloud platform provides automated software testing services, saving capacity and reducing expense [1,2]. With the increasing popularity of service computing, a vast amount of services-related business applications has emerged, such as service composition [3,4], service recommendation [5][6][7][8], service evaluation [9][10][11], and service optimization [12][13][14][15].…”

Section: Introductionmentioning

confidence: 99%

A Constraint-Aware Optimization Method for Concurrency Bug Diagnosis Service in a Distributed Cloud Environment

Jiang

2018

Security and Communication Networks

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The advent of cloud computation and big data applications has enabled data access concurrency to be prevalent in the distributed cloud environment. In the meantime, security issue becomes a critical problem for researchers to consider. Concurrency bug diagnosis service is to analyze concurrent software and then reason about concurrency bugs in them. However, frequent context switches in concurrent program execution traces will inevitably impact the service performance. To optimize the service performance, this paper presents a static constraint-aware method to simplify concurrent program buggy traces. First, taking the original buggy trace as the operation object, we calculate the maximal sound dependence relations based on the constraint models. Then, we iteratively check the dependent constraints and move forward current event to extend thread execution intervals. Finally, we obtain the simplified trace that is equivalent to the original buggy trace. To evaluate our approach, we conduct a set of experiments on 12 widely used Java projects. Experimental results show that our approach outperforms other state-of-the-art approaches in terms of execution time.

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Model-based testing as a service

Cited by 5 publications

References 13 publications

Challenges & opportunities in low-code testing

Challenges & opportunities in low-code testing

XML-Based Information Fusion Architecture based on Cloud Computing Ecosystem

A Constraint-Aware Optimization Method for Concurrency Bug Diagnosis Service in a Distributed Cloud Environment

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