ReTSE: slicing based regression testing

Ngah, Amir; Saman, Mohd Yazid; Munro, Malcolm

doi:10.2495/icfcit130541

Cited by 4 publications

(6 citation statements)

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“…As the state-of-the-art shows (Kotonya, 1998;Myers et al, 2012, Labuschagne et al, 2017Ngah, Munro, & Abdallah, 2017), testing and regression testing are very complex and costly processes. According to current literature, the cost of testing may raise even above the 50% of the total costs for the project (Xiao et al, 2018;Xu et al, 2015;Whyte & Mulder, 2011;Hailpern & Santhanam, 2002;Wegener, 2005;Veenendaal et al, 1997).…”

Section: Related Workmentioning

confidence: 99%

A Requirements Management Approach to Ameliorate Regression Testing Cost Overruns and Deviations

Roncero

Silva

2023

Preprint

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Testing and regression testing tasks can become very complex and highly expensive. Currently, studies in the software industry that testing activities may absorb more than 50% of the project cost. Of this cost, 40% may correspond to the cost of regression testing which, if not taken into account from the beginning, leads to a cost increase large enough to jeopardize the success of the project. To address this issue, an approach named “TeqReq+” is proposed. The main objective of TeqReq + is to provide an early integration of the cost of regression testing into the initial estimates of the project effort. From this, a reduction of the difference between the initial effort estimate and the final cost of the project will take place, after the regression testing has already been carried out. Additionally, in order to record valuable information for the testing process, TeqReq + will also record information related to the testing status and to the person responsible for the testing tasks associated to a requirement. The proposed approach was validated in an industrial case study involving several real-world projects. The analysis of the information gathered was performed under a mixed approach and, in turn, the results were validated via double triangulation. The findings lead to confirm that TeqReq + had a positive impact not only at the time of budgeting the cost of regression testing but in reducing the deviations due to a bad estimation of the regression testing costs, while also providing several other improvements regarding the testing process.

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Section: Related Workmentioning

confidence: 99%

A Requirements Management Approach to Ameliorate Regression Testing Cost Overruns and Deviations

Roncero

Silva

2023

Preprint

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“…Regression testing is another important technique for IoT and cloud systems [246,247]. It involves retesting the system after making changes or updates to ensure that the changes have not introduced new defects or issues in previously tested areas [248]. Regression testing can be done manually or through automated testing tools, and it is important to perform regularly to ensure that the system remains stable and reliable throughout its lifecycle [249,250].…”

Section: Different Categories Of Vandv Techniquesmentioning

confidence: 99%

Early Detection of Earthquakes Using IoT and Cloud Infrastructure: A Survey

Abdalzaher,

Krichen,

Yiltas-Kaplan

et al. 2023

Sustainability

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Earthquake early warning systems (EEWS) are crucial for saving lives in earthquake-prone areas. In this study, we explore the potential of IoT and cloud infrastructure in realizing a sustainable EEWS that is capable of providing early warning to people and coordinating disaster response efforts. To achieve this goal, we provide an overview of the fundamental concepts of seismic waves and associated signal processing. We then present a detailed discussion of the IoT-enabled EEWS, including the use of IoT networks to track the actions taken by various EEWS organizations and the cloud infrastructure to gather data, analyze it, and send alarms when necessary. Furthermore, we present a taxonomy of emerging EEWS approaches using IoT and cloud facilities, which includes the integration of advanced technologies such as machine learning (ML) algorithms, distributed computing, and edge computing. We also elaborate on a generic EEWS architecture that is sustainable and efficient and highlight the importance of considering sustainability in the design of such systems. Additionally, we discuss the role of drones in disaster management and their potential to enhance the effectiveness of EEWS. Furthermore, we provide a summary of the primary verification and validation methods required for the systems under consideration. In addition to the contributions mentioned above, this study also highlights the implications of using IoT and cloud infrastructure in early earthquake detection and disaster management. Our research design involved a comprehensive survey of the existing literature on early earthquake warning systems and the use of IoT and cloud infrastructure. We also conducted a thorough analysis of the taxonomy of emerging EEWS approaches using IoT and cloud facilities and the verification and validation methods required for such systems. Our findings suggest that the use of IoT and cloud infrastructure in early earthquake detection can significantly improve the speed and effectiveness of disaster response efforts, thereby saving lives and reducing the economic impact of earthquakes. Finally, we identify research gaps in this domain and suggest future directions toward achieving a sustainable EEWS. Overall, this study provides valuable insights into the use of IoT and cloud infrastructure in earthquake disaster early detection and emphasizes the importance of sustainability in designing such systems.

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“…The ReTSE model [25] is a four phase model that has three inputs and three outputs. Step.…”

Section: Retse Modelmentioning

confidence: 99%

“…Finally in the Phase 4, the model will identify any redundant test cases that may exist in regression tests produced in Phase 3. More details explaination about the ReTSE model can be founded in [25].…”

Section: Retse Modelmentioning

confidence: 99%

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Regression test selection model: a comparison between ReTSE and pythia

et al. 2019

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As software systems change and evolve over time regression tests have to be run to validate these changes. Regression testing is an expensive but essential activity in software maintenance. The purpose of this paper is to compare a new regression test selection model called ReTSE with Pythia. The ReTSE model uses decomposition slicing in order to identify the relevant regression tests. Decomposition slicing provides a technique that is capable of identifying the unchanged parts of a system. Pythia is a regression test selection technique based on textual differencing. Both techniques are compare using a Power program taken from Vokolos and Frankl's paper. The analysis of this comparison has shown promising results in reducing the number of tests to be run after changes are introduced.

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ReTSE: slicing based regression testing

Cited by 4 publications

References 0 publications

A Requirements Management Approach to Ameliorate Regression Testing Cost Overruns and Deviations

A Requirements Management Approach to Ameliorate Regression Testing Cost Overruns and Deviations

Early Detection of Earthquakes Using IoT and Cloud Infrastructure: A Survey

Regression test selection model: a comparison between ReTSE and pythia

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