Test case design for context-aware applications: Are we there yet?

Santos, Ismayle de Sousa; Andrade, Rossana M. C.; Rocha, Lincoln S.; Matalonga, Santiago; Oliveira, Kthia Maral de; Travassos, Guilherme Horta

doi:10.1016/j.infsof.2017.03.008

Cited by 36 publications

(26 citation statements)

References 14 publications

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“…The CNPq CAcTUS research project was performed based on the aim of understanding test strategies for quality assessment of actor-computer interaction in context-aware systems, as one of the chief characteristics of ubiquitous systems (Spínola and Travassos 2012;Santos et al 2017;Matalonga et al 2017). Research teams from two Brazilian universities (Federal University of Rio de Janeiro and Federal University of Ceará) and one French university (Université Polytechnique Hauts-de-France) worked together in the project.…”

Section: The Cactus Projectmentioning

confidence: 99%

On Challenges in Engineering IoT Software Systems

Motta

Oliveira

Travassos

2019

JSERD

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Contemporary software systems, such as the Internet of Things (IoT), Industry 4.0, and Smart Cities represent a technology changing that offer challenges for their construction since they are calling into question our traditional form of developing software. They are a promising paradigm for the integration of devices and communications technologies. It is leading to a shift in the classical monolithic view of development where stakeholders used to receive a software product at the end (that we have been doing for decades), to software systems incrementally materialized through physical objects interconnected by networks and with embedded software to support daily activities. Therefore, we need to revisit the classical way of developing software and start to consider the particularities required by these new sorts of applications. Since such software systems involve different concerns, this paper presents the results of an investigation towards defining a framework to support the software systems engineering of IoT applications. To support its representation, we evolved the Zachman’s Framework as an alternative to the organization of the framework architecture. The filling of such a framework is supported by a) 14 significant concerns of IoT applications, recovered from the technical literature, practitioner’s workshops and a Government Report; b) seven structured facets emerged from IoT data analysis, that together represent the engineering challenges to be faced both by researchers and practitioners towards the advancement of IoT in practice.

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Section: The Cactus Projectmentioning

confidence: 99%

On Challenges in Engineering IoT Software Systems

Motta

Oliveira

Travassos

2019

JSERD

Self Cite

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“… Search Strategy -The search strategy used Scopus 1 combined with snowballing procedures. The Scopus was chosen as the search engine since it indexes several 1 https://www.scopus.com/ databases of peer-reviewed sources, covering repositories such as IEEE Xplorer 2 for example, and favor the repeatability of the search results (Matalonga, Rodrigues and Travassos, 2017;Santos et al, 2017). In turn, backward and forward snowballing refers to using the reference list of cited papers or the citations to a paper to identify additional sources of data, complementing and extending the initial set of papers (Wohlin, 2014).…”

Section: Review Planningmentioning

confidence: 99%

“…In our previous research regarding ubiquitous (Spínola, Pinto and Travassos, 2008;Spínola and Travassos, 2012) and context-aware software systems (Matalonga, Rodrigues and Travassos, 2017;Santos et al, 2017), we have identified some gaps and the need for software technologies that can also be observed in the IoT domain. However, as a constant challenge in this area, the lack of a unified IoT perception together with some experiences on engineering IoT software systems motivate this research as a starting point for further investigation and development activities at our research group.…”

Section: Introductionmentioning

confidence: 99%

Towards a more in-depth understanding of the IoT Paradigm and its challenges

Motta

Silva

Travassos

2019

JSERD

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The Internet of Things (IoT) is a new technological paradigm that brings together the physical and virtual worlds to provide software systems everywhere through daily life objects. The IoT can transform how we interact with the environment surrounding us, leading to a significant multidisciplinary technological shift. However, since it is a new field of research and development, there is a lack of consensus and understanding of its concepts and features, as we observed when engineering some software systems in the field. Therefore, we performed investigations to characterize IoT regarding its definition, characteristics, and applications, organizing the area and revealing its challenges and research opportunities. A structured literature review of secondary studies supported the answering of three research questions: What is “Internet of Things”? Which characteristics can define an IoT domain? Which are the areas of IoT application? The structured literature review leads to 15 subsequent studies from which we recovered 34 definitions - discussed in the light of the technical evolution - 29 characteristics and several IoT application areas. Furthermore, the results include an IoT characterization based on identification, sensing, and actuation capabilities, besides a discussion of the relation between IoT and Cyber-Physical Systems (CPS), regarding other research areas and terms often associated with IoT aiming at to bring clarification to the field. In this work, we offer an essential overview of the IoT state-of-the-art and a characterization, presenting issues that should be addressed to contribute to its strengthening and establishment.

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“…Similarly, the Thali project 4 is a Cordova Plugin that brings GOOGLE NEARBY P2P communications to Cordova mobile apps. In particular, they clearly report that "Getting peer to peer working on Android has been and continues to be a heck of a challenge."…”

Section: B Presence Of Google Nearby In the Play Storementioning

confidence: 99%

“…Unit testing is known to be a partial solution to assess the expected behavior of the app. In particular, when the execution context is known to be unpredictable, black-box testing becomes critical, especially for mobile devices [4]. Moreover, testing exhaustively a mobile app with every possible scenarios is desirable to reduce the risk of receiving bad user reviews and ratings on the app store.…”

Section: B Objectives When Testing Nearby Mobile Appsmentioning

confidence: 99%