Computer Engineering / Bilgisayar Mühendisliği
Permanent URI for this collectionhttps://hdl.handle.net/11147/10
Browse
5 results
Search Results
Article Citation - WoS: 3Citation - Scopus: 6Model-Based Ideal Testing of Gui Programs-Approach and Case Studies(IEEE-Inst Electrical Electronics Engineers inc, 2021) Kilincceker, Onur; Silistre, Alper; Belli, Fevzi; Challenger, MoharramTraditionally, software testing is aimed at showing the presence of faults. This paper proposes a novel approach to testing graphical user interfaces (GUI) for showing both the presence and absence of faults in the sense of ideal testing. The approach uses a positive testing concept to show that the GUI under consideration (GUC) does what the user expects; to the contrary, the negative testing concept shows that the GUC does not do anything that the user does not expect, building a holistic view. The first step of the approach models the GUC by a finite state machine (FSM) that enables the model-based generation of test cases. This is always possible as the GUIs are considered as strictly sequential processes. The next step converts the FSM to an equivalent regular expression (RE) that will be analyzed first to construct test selection criteria for excluding redundant test cases and construct test coverage criteria for terminating the positive test process. Both criteria enable us to assess the adequacy and efficiency of the positive tests performed. The negative tests will be realized by systematically mutating the FSM to model faults, the absence of which are to be shown. Those mutant FSMs will be handled and assessed in the same way as in positive testing. Two case studies illustrate and validate the approach; the experiments' results will be analyzed to discuss the pros and cons of the techniques introduced.Conference Object Citation - WoS: 10Citation - Scopus: 12Random Test Generation From Regular Expressions for Graphical User Interface (gui) Testing(Institute of Electrical and Electronics Engineers, 2019) Kılınççeker, Onur; Silistre, Alper; Challenger, Moharram; Belli, FevziGeneration of test sequences, that is, (user) inputs - expected (system) outputs, is an important task of testing of graphical user interfaces (GUI). This work proposes an approach to randomly generate test sequences that might he used for comparison with existing GUI testing techniques to evaluate their efficiency. The proposed approach first models CUI under test by a finite state machine (FSM) and then converts it to a regular expression (RE). A tool based on a special technique we developed analyzes the RE to fulfill missing context information such as the position of a symbol in the RE. The result is a context table representing the RE. The proposed approach traverses the context table to generate the test sequences. To do this, the approach repeatedly selects a symbol in the table, starting from the initial symbol, in a random manner until reaching a special, finalizing symbol for constructing a test sequence. Thus, the approach uses a symbol coverage criterion to assess the adequacy of the test generation. To evaluate the approach, mutation testing is used. The proposed technique is to a great extent implemented and is available as a tool called PQ-Ran Test (PQ-analysis based Random Test Generation). A case study demonstrates the proposed approach and analyzes its effectiveness by mutation testing.Conference Object Citation - WoS: 7Citation - Scopus: 8Models in Graphical User Interface Testing: Study Design(Institute of Electrical and Electronics Engineers, 2020) Silistre, Alper; Kılınççeker, Onur; Belli, Fevzi; Challenger, Moharram; Kardaş, GeylaniModel-based GUI testing is an important concept in Software GUI testing. Manual testing is a time-consuming labor and heavily error-prone. It has several well-accepted models that Software Testing community has been working and contributing to them for many years. This paper reviews different models used in model-based GUI testing and presents a case study with a proposed approach for how to convert several well-accepted models to ESG (Event Sequence Graphs) to generate test cases and execute them with an aim to consolidate past and future works in a single model. © 2020 IEEE.Conference Object Citation - WoS: 10Citation - Scopus: 13Regular Expression Based Test Sequence Generation for Hdl Program Validation(Institute of Electrical and Electronics Engineers Inc., 2018) Kılınççeker, Onur; Türk, Ercüment; Challenger, Moharram; Belli, FevziThis paper proposes a test sequence generation approach for behavioral model validation of sequential circuits implemented in Hardware Description Language (HDL). In the procedure of test sequence generation proposed in this study, Regular Expressions (REs) are utilized to model the behavior of the System Under Test (SUT). First, the HDL program is converted to a Finite State Machine (FSM). Then, the obtained FSM is transformed to RE which is represented by a Syntax Tree (ST). In this way, the test sequence generation problem is simplified to the tree traversal algorithm in which symbol and operator coverage criteria are satisfied. The required tools for test sequence generation are provided to automatize the whole procedure of the proposed approach. Also, a running example, based on a real-life-like Traffic Light Controller (TLC), validates the proposed approach and analyzes its characteristic features.Conference Object Citation - Scopus: 3Android Uygulaması Testi için İdeal Test Ön Çalışması(CEUR Workshop Proceedings, 2018) Mercan, Gizem; Akgündüz, Evrim; Kılınççeker, Onur; Challenger, Moharram; Belli, FevziThis paper proposes a hybrid method combining well-known holistic test and mutation testing in software testing for Graphical User Interface (GUI) testing of an android application. Moreover, this hybrid method satisfies requirements of ideal testing that is well known and important in software testing. Presence and absence of GUI based faults are tested within this work experimentally and comparatively in the scale of given or constructed model. First step of the method is modeling the given GUI of android application by Finite State Machine (FSM) and then converting this FSM to Regular Expression (RE). Then, test sequences are generated from a context table that is obtained analysis of the RE model. This process defines first part of the Holistic Testing namely positive testing. In second part called negative testing, the test sequence generation procedure is applied mutants of the FSM obtained after applying selected mutation operators. The generated test sequences from original and mutant models are executed on mutant and original android applications respectively. Test sequences are filtered by using pre-defined selection criteria for both positive and negative testing to achieve ideal test suites that are satisfying requirements of the ideal testing.
