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weighted correlation aggregation, rank-based aggregation, and frequent sequential pattern-based aggregation. We have tested the reliability of a large collection of basic UNIX utility programs, X-Window applications and servers, and network services. behaviour of public methods with random or invalid, analysis and testing exception-catch paths is pr. Results show the effectiveness of the proposed method, as it improves on results obtained by the community. By combining the use of robustness testing (fault injection at interface level) with software fault injection (using educated fault injection operators), a COTS component can be assessed in the context of the system it will belong to, with special emphasis given to timing and safety constraints that are usually imposed by the target real time dependable environment. The workload represents the typical operation of the system. The results highlight the strengths and weaknesses of each tool and approach and identify hard code parts that are difficult to tackle for most of the tools. software robustness techniques • See “MSP430 Software Coding Techniques” (slaa294a) for more tips on software robustness 14 Agenda • Basics of flash technology ... • MSP430 flash testing still shows good retention at extreme temps: – 27 years at 85C – 10 years at 105C In field areas where there are high levels of agreement on appropriate methods and measurement, robustness testing need not be very broad. ical techniques used to model damage and failure in a specific system. Next, the paper presents SETTE, an automated framework to execute and evaluate these snippets. is to find vulnerabilities or security flaws of new progr ams and systems to make the development team aware of requi red modifications in order to increase the security. In the following we survey the peculiarities of these, activation sequences) between them. extensively on the field and is one the very few fault injection tools commercially available and supported. This paper presents a method for robustness testing of a cloud platform. We started with OpenStack, a cloud software that counts with components to manage identities, images, instances, networks, storages, etc. Automated testing has the advantage of being low-cost and efficient, however its effectiveness depends largely on the data that is used as test input. In computer science, robustness is the ability of a computer system to cope with errors during execution and cope with erroneous input. We then leverage existing automated unit test generation tools to generate unit tests and finally execute the generated unit tests, which in turn invoke the service under test. Content Indicators: D.2.5 (Testing and Debugging), D.4.9 (Programs and Utilities), General terms: random testing, reliability, UNIX. Moreover Wurldtech Inc. also providing is a valuable A major challenge related to self-adaptive software systems is the ability to provide assurances of their resilience when facing changes. Xception has been used Detailed analysis of these papers shows where MBT approaches have been applied, the characteristics, and the limitations. This approach reveals the impact of time delays, i.e. Robust statistics are statistics with good performance for data drawn from a wide range of probability distributions, especially for distributions that are not normal.Robust statistical methods have been developed for many common problems, such as estimating location, scale, and regression parameters.One motivation is to produce statistical methods that are not unduly affected by outliers. Testing is a determined, systematic attempt to … Often, robustness tests test hypotheses of the format: H0: The assumption made in the analysis is true. 4. on ordering sentences for text summarization show that all the three new methods outperform the state of the art average correlation To evaluate test input generators, this paper collects a set of programming language concepts that should be handled by the tools and maps these core concepts and challenging features like handling the environment or multi-threading to 363 code snippets, respectively. crashed out of the 135 utilities that were tested (a failure, handling of non-printable characters and (excessive. also used to assess the robustness of a system. evaluation method is thus how, The Literature Study of Penetration Testing project will address aspects regarding how much vulnerable compu ter systems are and what effort that is needed to break into a system where the access is restricted or the target is remotely located. Cloud robustness testing approaches lack in considering large deployments due to the difficulty to instantiate them up, thereby most of these scenarios are ignored. In the course of this work, three case studies have been performed to assess the methodology using realistic scenarios that used common COTS products. We compared the results obtained with those provided by OpenStack community. On the other, if a failure occurs, it is difficult to reproduce and debug. Budapest Univ. While other works focused on identifying vulnerabilities related to the use of. We used a simple testing method of subjecting these programs to a random input stream. attribute of dependability, robustness benchmarks can be considered as a special, technique assesses the ability of a system or component to, handling mechanisms (considered as components to be teste. © 2008-2020 ResearchGate GmbH. Pharmaceutical companies market products in many countries. During the attack phase, the, also attempts to automatically generate proof-, way, the technique increases the code, thoroughly the web applications and identify more b. while maintaining the false positives rate quite low. Based on the results of this approach, system developers can identify criticality of OS states and improve robustness of OS in those states. Due to the elasticity in such infrastructures, the financial economic becomes attractive in different scenarios, from small to large business. Over 10 million scientific documents at your fingertips. Robustness of Statistical Tests provides a general, systematic finite sample theory of the robustness of tests and covers the application of this theory to some important testing p ... read full description. That is, p-values are a sort of measure of robustness across potential samples, under the assumption that the dispersion of the underlying population is accurately reflected in the sample at hand. As more critical systems are developed from commercial off the shelf (COTS) software, the robustness of these applications to operating system failures, and in general, to failures from third party software, becomes increasingly critical. robustness faults exposed by a given test suite. Numerical examples are presented to illustrate the use of this framework and investigate the relationship between system performance and the index used to quantify robustness. Robustness testing also test invalid values to satisfy the testing level. checked) there is no need to generate reference output. Robustness and ruggedness. Wiley Publishing, Inc. (2007), White-box test generation usually faces difficulties in environment-heavy software. Since robustness tests are mainly demanded in pharmaceutical analysis, where usually HPLC or CE methods are used, most examples were found for these techniques. In case of .NET this technolog, SQLUnitGen, presented in [57], is a tool that combines static, the parse trees are considered vulnerabilities, originating a war. • Our Differential Testing scheme is • An experimentalapproach to evaluate the robustness of different anonymization schemes without having access to the details of the anonymization algorithms • It only uses anonymized datasets • The companies do not have to reveal their anonymization scheme, but just an oracle to it (black-box approach) However, to overcome the Achilles platform’s proprietary aspects and limitations in terms of supported network protocols and attack techniques customization support, we have designed and implemented the TRoIE test-bench [4]. A test execution algorithm is presented. Zoltán Micskei I. Majzik Henrique Madeira Marco Vieira Nuno Antunes Alberto Avritzer. It is written in an engaging and accessible way but also conveys the state of the art on both climate change research and work into human security, utilizing both disciplinary and interdisciplinary approaches. of Technology and Economics, Siemens Corporate Research and Technology, https://doi.org/10.1007/978-3-642-29032-9_16. Obviously, the same confidence and quality of the custom made software components is expected from the commercial applications. resist-, http://www.owasp.org/index.php/Category:OWASP, exploiting security flaws. The result of our testing is that we can crash (with core dump) or hang (infinite loop) over 40% (in the worst case) of the basic programs and over 25% of the X-Window applications. However, there are several choices when interpre, Many tasks (e.g., search and summarization) result in an ordered list of items. around thematic sections, each chapter is written by an acknowledged expert in the field, and discusses the key concepts and evidence base for our current policy choices, and the dilemmas of international policy in the field. A RTCBS system is described as a collection of components where each component is modeled as a Timed Input-Output Automaton (TIOA). Thus, to decrease the gap between the use of custom made components and COTS components, this paper presents a methodology for evaluating COTS products in the scope of dependable, real time systems, through the application of fault injection techniques at key points of the software engineering process. In the first phase, the tester executes the generated test sequences of each component in isolation and records the feedback of this experimentation. This chapter addresses Xception — a software implemented fault injection tool. It is a timely volume that makes the case for acting wisely now to avert impending crises and global environmental problems. during the study “Method Validation and Robustness Testing of an Enantioselective CE Method for Chemical Quality Control”. The terms robustness and ruggedness refer to the ability of an analytical method to remain unaffected by small variations in the method parameters (mobile phase composition, column age, column temperature, etc.) Software Testing method that analyses the functionality of a software/application without knowing much about the internal structure/design of the item that is being tested and compares the input value with the output value other user-mode applications through the OS itself. We hope that this research could serve as actionable feedback to tool developers and help practitioners assess the readiness of test input generation. In areas where Therefore, robustness testing We also tested how utility programs checked their return codes from the memory allocation library routines by simulating the unavailability of virtual memory. One good way to analyse robustness was shown by M. Jimidar et al. For example, different technicians, instruments, incubation time, ambient temperature, and reagents. In this dissertation, we explore two main robustness testing input generation techniques: fuzzing and dictionary-based testing. Robustness testing. Robustness is an attribute of resilience that measures the behaviour of the system under non-standard conditions. Then we present an adequate test architecture consisting of the System Under Test (SUT) of components, and a distributed tester that consists of a set of coordinating testers. advanced debugging and performance monitoring resources available in modern processors to emulate realistic faults by software, In order to evaluate such an ordered list pp 323-339 | The type-specific technique mentioned above can be enhanced in object-oriented. All rights reserved. Third, for me robustness subsumes the sort of testing that has given us p-values and all the rest. Resilience Assessment and Evaluation of Computing Systems (pp.323-339), Budapest University of Technology and Economics, Robustness-Driven Resilience Evaluation of Self-Adaptive Software Systems, Using a Search and Model Based Framework to Improve Robustness Tests in Cloud Platforms, Evaluating code-based test input generator tools, Improving the stateful robustness testing of embedded real-time operating systems, Fuzz Revisited: A Re-Examination of the Reliability of UNIX Utilities and Services, A survey on model-based testing approaches: a systematic review, Automated robustness testing of web services, Fuzzing for Software Security Testing and Quality Assurance, Robustness testing of composed real-time systems, The Web Application Hacker's Handbook: Discovering and Exploiting Security Flaws, An Approach to Testing COTS Software for Robustness to Operating System Exceptions and Errors, Verification and Validation of (Real Time) COTS Products using Fault Injection Techniques, Interface Robustness Testing: Experience and Lessons Learned from the Ballista Project, Xception™: A Software Implemented Fault Injection Tool, Aggregation of Multiple Judgments for Evaluating Ordered Lists, Handbook on climate change and human security, PuVAE: A Variational Autoencoder to Purify Adversarial Examples. using automated testing techniques to identify robustness failures [5, 6]. Abstract Robustness is an attribute of resilience that measures the behaviour of the system under non-standard conditions. In recent years, researchers have emphasized the importance of considering the OS state in robustness testing. Fault tolerance as a concept is also widely used in robustness. With rapid methods, robustness can be undertaken by the method supplier. with limited use, since they lack most of the functionalities of their, Two very popular free security scanners that support web services testing are, vulnerabilities: they attack the web service, can be applied for penetration testing in web-based ap, applications or web services and is quite simple to, includes numerous innovative features, for instanc, 5 Resilience Modelling and Analysis using Testing Results, from the system security, reliability or performance requirements as follo, specifications during an observation period (0,t), The steps required to implement the approach presented in, intrusions, or any other system activity that needs to b, relevant non-functional requirement domains, such. As triggering robustness faults could in the worst case scenario even crash the system, detecting this type of faults is of utmost importance. We also consider the laboratory processes Although several defense methods have been proposed to address specific attacks, other attack methods can circumvent these defense mechanisms. analysers help guaranteeing an adequate coverage of the so, the learning phase, the approach learns the regular patterns of the queries being, PHP web applications. One of the least tested but most critical portions of software systems is error and exception handling. Join ResearchGate to find the people and research you need to help your work. Since in these systems, the components that act as controllers of a target system incorporate highly complex software, there is the need to analyze the impact that controller failures might have on the services delivered by the system. fact that complex components may fail differentl, The increasingly popular model-driven deve, applicability, while Fig. All content in this area was uploaded by Zoltan Micskei on Jul 10, 2019, of the system under non-standard conditions. and to monitor the activation of the faults and their impact on the target system behaviour in detail. This is a preview of subscription content, Resilience Assessment and Evaluation of Computing Systems, Budapest Univ. This paper investigates the sources of inputs that can activate robustness faults of a HA middleware and recommends the corresponding testing techniques to check the existence of such faults. These snippets would serve as inputs for the tools. Proceedings of. This chapter presents the state of the art on robustness testing by summarizing the evolution of basic robustness testing techniques, giving an overview of the specific methods and tools developed for major application domains, and introducing penetration testing, a specialization of robustness testing, which searches for security vulnerabilities. In particular, we have developed a theory of component-based design, called rCOS, based on the notion of re nement of components and objects [6, 22]. A detailed survey of robustness testing techniques was provided in t he context of the ReSIST Network o f Ex cellence, in p articular in the repo rt summarizing the state of knowledge [50]. We were not able to crash any of the network services that we tested nor any of X-Window servers. This chapter presents the state of the art on robustness testing by summarizing the evolution of basic robustness testing techniques, giving an overview of the specific methods and tools developed for major application domains, and introducing penetration testing, a specialization of robustness testing, which searches for security vulnerabilities. Because manual testing is tedious, tools are needed to automate test generation and execution for web services. 233-242 IEEE (2007) doi: 10.1109/ICCBSS.20, Lecture Notes in Computer Science. The wrapper is used to return error codes and exceptions from calls to operating system functions. Our aim is to provide a methodology along with a su, Together with Nokia Research Center we were working on the robustness testing of HA middleware systems. The input to a component under test will determine which robustness failures (if … Th is report also contains a review of the tools used in the dif ferent phases of penetration testing. It the process of verifying whether a software system performs well under stress conditions or not. 160.153.154.27. However, they are vulnerable to adversarial attacks that compromise the network at the inference time by applying elaborately designed perturbation to input data. The authors identified all possible factors that in principle could affect the method and ran robustness studies on them (shown below): © Michael R. Redclift and Marco Grasso 2013. Robustness of the HFMI techniques and the effect of weld quality on the fatigue life improvement of welded joints R. Aldén1 & Z. Barsoum2 & T. Vouristo1 & M. Al-Emrani3 ... Robustness of HFMI treatment in different weld qualities according to ISO 5817 was studied, and fatigue testing of the treated With the goal of reducing time to market and project costs, the current trend of real time business and mission critical systems is evolving from the development of custom made applications to the use of commercial off the shelf (COTS) products. It is common in such cases the experient testing team writing down most of their tests, which although effective to reveal bugs is expensive and error-prone in practice. Historical time line of techniques used for robustness testing. The results show that OS state can influence the OS behavior with respect to fault tolerance, in the presence of time delays. pporting toolset to make symbolic execution-based test generation easier to understand in complex scenarios. These keywords were added by machine and not by the authors. described by Huhns and Holderfield [6], robustness testing of software system concerns how to test its ability to avoid crash. But, in practice, the more severe failures occur in large deployments in tricky scenarios. The term cloud computing refers to software and hardware delivered as a service, and the systems that control the hardware in data centers. Our testing methods and tools are largely automatic and simple to use. An increasingly important requirement for certain classes of software-intensive systems is the ability to self-adapt their structure and behavior at run-time when reacting to changes that may occur to the system, its environment, or its goals. In this paper, we present an approach and tool for assessing the robustness of COTS applications to failures from OS functions or other third-party COTS software. Testing can be used to help assure both the correctness and robustness of a web service. In this paper, we present a novel approach for evaluating the resilience of self-adaptive software systems by applying robustness testing techniques to the controller to uncover failures that can affect system resilience. This tells us what "robustness test" actually means - we're checking if our results are robust to the possibility that one of our assumptions might not be true. Organized. Experiment results Implementations. In such systems, software robustness is an essential requirement for improving software fault tolerance. length of time) when called with random input data. the runtime behaviour of the application. any bias, multiple human experts are often used to create multiple ideal ordered lists. the robustness and resilience of industrial products. These techniques represent two different ways of sampling the possible input space for a given parameter. In rCOS, an interface of a To increase the interoperability of availability management software (also known as high availability middleware) the Service Availability Forum has released a set of open specifications. exploitable flaws in the sanitization process. This service is more advanced with JavaScript available, Resilience Assessment and Evaluation of Computing Systems The distribution of the product often requires manufacturing and packaging in multiple countries and locations. Among the three proposed methods, the frequent sequential Access scientific knowledge from anywhere. Web services are a popular way of implementing a Service-Oriented Architecture (SOA), which has gained rapid adoption and support from leading industrial players such as IBM, Oracle, and Microsoft. Our preliminary results show that we can quickly generate and execute web-service requests that may reveal robustness problems with no knowledge of the underlying web service implementation. methods in terms of discriminativeness and robustness against noise. This process is experimental and the keywords may be updated as the learning algorithm improves. TIMEOUT takes the OS state into account and improves the existing robustness testing methods. [IEEE Std 24765:2010] Goal: The goal of robustness testing is to develop test cases and test environments where a system's robustness can be assessed. inputs with invalid timing delay, on the OS kernel functionality. The effect of the failure from the OS call is then assessed. use of testing results in resilience modelling and analysis is discussed. The reliability of the basic utilities from GNU and Linux were noticeably better than those of the commercial systems. 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