scholarly journals CRITICAL COMPONENTS IDENTIFICATION USING MUTATION BASED COMPONENTS IMPACT ANALYSIS

Author(s):  
D. JEYAMALA ◽  
K. SABARI NATHAN ◽  
A. JALILA ◽  
S. BALAMURUGAN

High quality software can be obtained by means of resolving the complexity of the software. According to Pareto principle, 20% of components lead to 80% of the problems [1]. So, we need to identify those 20% of the components during testing. Therefore, this research work suggested an automated software testing framework to identify critical components using mutant based dynamic impact analysis for Software under Test (SUT). Mutants are automatically generated by injecting faults in the components using Offutt mutation operators and they are utilised to identify their impact level over other components of the system. The generated mutants and original program are executed using the suite of test cases, based on the conclusion of both the results, the mutation score is assessed and furthermore it is utilised as the test case adequacy criterion to recognize the impact level of it over the other components of a system. The outcome of this innovative approach is a testing tool entitled as JImpact Analyzer that automates the entire task and has generates miscellaneous graphs for visualization purpose.

Author(s):  
Yasmina Maizi ◽  
Ygal Bendavid

With the fast development of IoT technologies and the potential of real-time data gathering, allowing decision makers to take advantage of real-time visibility on their processes, the rise of Digital Twins (DT) has attracted several research interests. DT are among the highest technological trends for the near future and their evolution is expected to transform the face of several industries and applications and opens the door to a huge number of possibilities. However, DT concept application remains at a cradle stage and it is mainly restricted to the manufacturing sector. In fact, its true potential will be revealed in many other sectors. In this research paper, we aim to propose a DT prototype for instore daily operations management and test its impact on daily operations management performances. More specifically, for this specific research work, we focus the impact analysis of DT in the fitting rooms’ area.


Author(s):  
Daniel Bolanos

This chapter provides practitioners in the field with a set of guidelines to help them through the process of elaborating an adequate automated testing framework to competently test automatic speech recognition systems. Through this chapter the testing process of such a system is analyzed from different angles, and different methods and techniques are proposed that are well suited for this task.


Author(s):  
Kumarswamy Karpanan ◽  
Craig Hamilton-Smith

Subsea oil and gas production involves assemblies such as trees, manifolds, and pipelines that are installed on sea floor. Each of these components is exposed to severe working conditions throughout its operational life and is difficult and expensive to repair or retrieve installed. During installation and operation, a rig/platform and several supply vessels are stationed on the waterline directly above the well and installed equipment below. If any object is to be dropped overboard, it presents a hazard to the installed equipment. A subsea tree comprises of a number of critical components such as valves and hydraulic actuators, in addition to several electrical components such as the subsea control module and pressure/temperature gauges. Their ability to operate correctly is vital to the safe production of oil and gas. If an object were to impact and damage these components, resulting in their inability to operate as intended, the consequences could be severe. In this paper, a typical subsea tree frame is analyzed to ensure its ability to withstand the impact from an object accidentally dropped overboard. This was accomplished using nonlinear dynamic Finite Element Analysis (FEA). In this study, the framework was struck by a rigid body at terminal velocity, resulting in a given impact energy. Displacements and resultant strain values at critical locations were then compared to allowable limits to ensure compliance to the design requirements.


Author(s):  
Jukka Ka¨hko¨nen ◽  
Pentti Varpasuo

The paper describes basis of a microplane concrete material model which was implemented in a commercial FE -code using user subroutine interface. The material model is called M4. The motivation for this implementation was a need for a concrete model which would perform well in a soft missile impact analysis. Numerical integration over the surface of a unit sphere is crucial to microplane material models. We tested our microplane implementation using several numerical integration formulas presented in literature. The two fairly simple test cases described in this paper revealed clearly the numerical anisotropy induced by the integration formulations. The impact problem was a medium size, medium velocity soft missile impact test case from an international research program. We compared our implementation of M4 model to a tensorial based damage plasticity concrete model and found out that the results were almost identical. However, the numerical results did not agree well with the measurements in this test case. We concluded this disagreement might be consequence of nonlinear phenomena beyond material constitutive relations.


Author(s):  
A. Jalila ◽  
D. Jeya Mala ◽  
M. Eswaran

Formal specification-based testing is one of the major criterions to detect faults in the requirement specification or design of a system. However, due to the non-availability of implementation details, test case generation from formal specifications become a challenging task. This research work has proposed an automated fault-based testing framework to test the specification of a system written in OCL (Object Constraint Language). Accordingly, the possible faults in OCL specification of a system have been anticipated by mutating its method based on predicate-based fault classes. Then, test cases are generated by applying Chaotic Simulated Annealing (CSA) algorithm. In this paper, a novel OCL predicate based fitness function is defined to evaluate the generated test data. The experiment results indicate that the OCL specification based testing adopting CSA form an excellent combination for performing functional testing at the earliest to improve software quality.


Author(s):  
Chetna Gupta ◽  
Varun Gupta

This paper presents an approach to prioritize program segments within the impact set computed using functional call graph to assist regression testing for test case prioritization. The presented technique will first categorize the type of impact propagation and then prioritize the impacted segments into higher and lower levels based on propagation categorization. This will help in saving maintenance cost and effort by allocating higher priority to those segments which are impacted more within the impacted set. Thus a software engineer can first run those test cases which cover segments with higher impacted priority to minimize regression test selection.


2015 ◽  
Vol 15 (10) ◽  
pp. 2283-2297 ◽  
Author(s):  
M. Bostenaru Dan ◽  
I. Armas

Abstract. This study is aimed to create an alternative to the classical GIS representation of the impact of earthquake hazards on urban areas. To accomplish this, the traditional map was revised, so that it can cope with contemporary innovative ways of planning, namely strategic planning. As in the theory of fractals, the building dimension and the urban neighbourhood dimension are addressed as different geographic scales between which lessons for decisions can be learned through regression. The interaction between the two scales is useful when looking for alternatives, for the completion of a GIS analysis, and in choosing the landmarks, which, in the case of hazards, become strategic elements in strategic planning. A methodology to innovate mapping as a digital means for analysing and visualising the impact of hazards is proposed. This method relies on concepts from various geography, urban planning, structural engineering and architecture approaches related to disaster management. The method has been tested at the building scale for the N–S Boulevard in Bucharest, Romania, called Magheru. At the urban scale, an incident database has been created, in which the case study for the building level can be mapped. The paper presented is part of a larger research work, which addresses decision making using the framework shown here. The main value of the paper is in proposing a conceptual framework to deconstruct the map for digital earthquake disaster impact analysis and representation. The originality of the concept consists in the representation of elements at different scales considered to be of different levels of importance in the urban tissue, according to the analysis to be performed on them.


2020 ◽  
Vol 26 (10) ◽  
pp. 1282-1311
Author(s):  
Ana Allian ◽  
Edson OliveiraJr ◽  
Rafael Capilla ◽  
Elisa Nakagawa

For nearly 30 years, industry and researchers have proposed many software variability tools to cope with the complexity of modeling variability in software development, followed by a number of publications on variability techniques built upon theoretical foundations. After more than 25 years of the practice of software variability, there are not many studies investigating the impact of software variability tools in the industry and the perception of practitioners. For this reason, we investigate in this research work how existing software variability tools fulfill the needs of companies demanding this kind of tool support. We conducted a survey with practitioners from companies in eight different countries in order to analyze the missing capabilities of software variability management tools and we compared the results of the survey with the scientifoc literature through a systematic mapping study (SMS) to analyze if the proposed solutions cover the needs required by practitioners. Our major findings indicate that many tools lack important qualities such as interoperability, collaborative work, code generation, scalability, impact analysis, and test; while the results from the SMS showed these such capabilities are, to some extent, found in some of the existing tools.


2015 ◽  
Vol 3 (5) ◽  
pp. 3287-3321 ◽  
Author(s):  
M. Bostenaru Dan ◽  
I. Armas

Abstract. We aim to create an alternative to GIS representation of the impact of hazards on urban areas. To accomplish this, we revise the traditional map, so that it can cope with today's innovative ways of planning, namely strategic planning. As in the theory of fractals, we address the building dimension and the urban neighbourhood dimension as different geographic scales between which lessons for decisions can be learned through regression. The interaction between the two scales can be seen when looking for alternatives or the completion of a GIS analysis, or in chosing the landmarks, which, in the case of hazards, become strategic elements in strategic planning. A methodology to innovate mapping as a digital means for analysing and visualising the impact of hazards has been developed. This new method relies on concepts from various geography, urban planning, structural engineering and architecture approaches related to disaster management. The method has been tested at the building scale for the central N–S boulevard in Bucharest, Romania, comprising the protected urban zone 04 "Magheru". At the urban scale, an incident database has been created, in which the case study for the building level can be mapped. The paper presented is part of a larger research work, which addresses decision making using the framework shown here. The main value of the paper is in proposing a conceptual framework to deconstruct the map for digital disaster impact analysis and representation. This concept is highly original, because it considers the representation of elements at different scales to be of different importance in the urban tissue, according to the analysis to be performed on them.


Energies ◽  
2021 ◽  
Vol 14 (19) ◽  
pp. 6360
Author(s):  
Alberto Benato ◽  
Alarico Macor

The anaerobic digestion of biodegradable substrates and waste is a well-known process that can be used worldwide to produce a renewable fuel called biogas. At the time of writing, the most widespread way of using biogas is its direct usage in combined heat and power internal combustion engines (CHP-ICEs) to generate electricity and heat. However, the combustion process generates emissions, which in turn have an impact on human health. Therefore, there is a need to: (i) measure the ICE emissions (both regulated and unregulated), (ii) compute the impact on human health, (iii) identify the substances with the highest impact and (iv) calculate the avoided damage to human health per Euro of investment in technology able to abate the specific type of pollutant. To this end, the authors conducted an experimental campaign and selected as a test case a 999 kWel biogas internal combustion engine. Then, the collected data, which included both regulated and unregulated emissions, were used to calculate the harmfulness to human health and identify the more impactful compounds. Thus, combining the results of the impact analysis on human health and the outcomes of a market analysis, the avoided damage to human health per Euro of investment in an abatement technology was computed. In this manner, a single parameter, expressed in DALY -1, provided clear information on the costs to reduce each disability-adjusted life year (DALY). The impact analysis on human health, which was performed using the Health Impact Assessment, showed that NOx was the main contributor to damage to human health (approximately 91% of the total), followed by SOx (6.5%), volatile organic compounds (1.4%) and CO (0.7%). Starting from these outcomes, the performed investigation showed that the technology that guarantees the maximum damage reduction per unit of cost is the denitrification system or the oxidizing converter, depending on whether the considered plant is already in-operation or newly built. This is an unexpected conclusion considering that the most impacting emission is the NOx.


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