Cookies Policy
The website need some cookies and similar means to function. If you permit us, we will use those means to collect data on your visits for aggregated statistics to improve our service. Find out More
Accept Reject
  • Menu
Publications

Publications by João Pascoal Faria

2014

Automated Pattern-Based Testing of Mobile Applications

Authors
Morgado, IC; Paiva, ACR; Faria, JP;

Publication
2014 9th International Conference on the Quality of Information and Communications Technology (QUATIC)

Abstract
This paper presents an approach for testing mobile applications using reverse engineering and behavioural patterns. The goal of this research work is to ease the testing of mobile applications by automatically identifying and testing behaviour that is common in this type of applications, i.e., behaviour patterns. The approach includes a tool to automatically explore an Android application. This tool also identifies patterns in the behaviour of the application and apply tests previously associated with those patterns. The final results of this research work will be a catalogue of behavioural patterns and the tool which will output a report on the matched patterns and another one on the testing of those patterns.

2014

Inferring User Interface Patterns from Execution Traces of Web Applications

Authors
Nabuco, M; Paiva, ACR; Faria, JP;

Publication
COMPUTATIONAL SCIENCE AND ITS APPLICATIONS - ICCSA 2014, PT V

Abstract
This paper presents a dynamic reverse engineering approach to extract User Interface (UI) Patterns from existent Web Applications. Firstly, information related to user interaction is saved, in particular: user actions and parameters; the HTML source pages; and the URLs. Secondly, the collected information is analysed in order to calculate several metrics (e.g., the differences between subsequent HTML pages). Thirdly, the existent UI Patterns are inferred from the overall information calculated based on a set of heuristic rules. The overall reverse engineering approach is evaluated with some experiments over several public Web Applications.

2016

MT4A: a no-programming test automation framework for Android applications

Authors
Coelho, Tiago; Lima, Bruno; Faria, JoaoPascoal;

Publication
Proceedings of the 7th International Workshop on Automating Test Case Design, Selection, and Evaluation, A-TEST@SIGSOFT FSE 2016, Seattle, WA, USA, November 18, 2016

Abstract
The growing dependency of our society on increasingly complex software systems, combining mobile and cloud-based applications and services, makes the test activities even more important and challenging. However, sometimes software tests are not properly performed due to tight deadlines, due to the time and skills required to develop and execute the tests or because the developers are too optimistic about possible faults in their own code. Although there are several frameworks for mobile test automation, they usually require programming skills or complex configuration steps. Hence, in this paper, we propose a framework that allows creating and executing tests for Android applications without requiring programming skills. It is possible to create automated tests based on a set of pre-defined actions and it is also possible to inject data into device sensors. An experiment with programmers and non-programmers showed that both can develop and execute tests with a similar time. A real world example using a fall detection application is presented to illustrate the approach. © 2016 ACM.

2013

Report from the 8th international conference on the quality of information and communications technology (QUATIC 2012)

Authors
Faria, JP; Paiva, ACR;

Publication
ACM SIGSOFT Software Engineering Notes

Abstract

2013

Techniques and toolset for conformance testing against UML sequence diagrams

Authors
Faria, JP; Paiva, ACR; De Castro, MV;

Publication
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Abstract
Novel techniques and a toolset are presented for automatically testing the conformance of software implementations against partial behavioral models constituted by a set of parameterized UML sequence diagrams (SDs), describing both external and internal interactions. Test code is automatically generated from the SDs and executed on the Java implementation under test, and test results and coverage information are presented back visually in the model. A runtime test library handles internal interaction checking, test stubs, and user interaction testing. Incremental conformance checking is achieved by first translating SDs to non-deterministic acceptance automata with parallelism. © IFIP International Federation for Information Processing 2013.

2014

A testing and certification methodology for an open Ambient-Assisted Living ecosystem

Authors
Faria, JP; Lima, B; Sousa, TB; Martins, A;

Publication
International Journal of E-Health and Medical Communications

Abstract
To cope with the needs raised by the demographic changes in our society, several Ambient-Assisted Living (AAL) technologies have emerged in recent years, but those 'first offers' are often monolithic, incompatible and thus expensive and potentially not sustainable. The AAL4ALL project aims at improving that situation through the development of an open ecosystem of interoperable AAL components (products and services), tied together by an integration infrastructure, comprising a message-queue based service bus and gateways bridging the communication with devices. To that end, the project encompasses the specification of interfaces and requirements for interoperable components, against which candidates can be tested and certified before entering the ecosystem. This paper proposes a testing and certification methodology for such an ecosystem. Besides fulfilling specified pre-requisites, candidate components must pass unit tests that check their conformance with interface specifications and integration tests that check their semantic interoperability with other components in specified orchestration scenarios. Copyright © 2014, IGI Global.

  • 3
  • 15