Academic literature on the topic 'Software Tools and Techniques'

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Journal articles on the topic "Software Tools and Techniques"

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Jayasree, V., and M. D. Baby. "Scientometrics: Tools, Techniques and Software for Analysis." Indian Journal of Information Sources and Services 9, no. 2 (May 5, 2019): 116–21. http://dx.doi.org/10.51983/ijiss.2019.9.2.611.

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This paper aims to discuss the significance of e-resources on scientometrics study. Tools for scientometric analysis are listed out. Data collected from literature search and website of softwares. Citation tracking tools like Web of science, Scopus and Google Scholar citations, CiteseerX etc., are discussed. Various software tools for bibliometric analysis like Bibexcel, CiteSpace, Histcite, Pajek, Publish or Perish, Scholarometer, VOS viewer-tool for constructing and visualizing bibliometric networks, CitNet explorer – tool for visualizing and analysing citation networks of publications etc are discussed, The study concludes that combination of different software tools can be used for complete scientometric analysis and the familiarization of bibliometric software among students and researchers will help to promote research in scientometrics in a more productive method.
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Vandierendonck, Hans, and Tom Mens. "Techniques and Tools for Parallelizing Software." IEEE Software 29, no. 2 (March 2012): 22–25. http://dx.doi.org/10.1109/ms.2012.43.

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Buglione, Luigi, and Christof Ebert. "Estimation Tools and Techniques." IEEE Software 28, no. 3 (May 2011): 91–94. http://dx.doi.org/10.1109/ms.2011.55.

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Chaudhary, Sarika. "Latest Software Testing Tools and Techniques: A Review." International Journal of Advanced Research in Computer Science and Software Engineering 7, no. 5 (May 30, 2017): 538–40. http://dx.doi.org/10.23956/ijarcsse/sv7i5/0138.

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Wainer, Gabriel A., and Olivier Dalle. "Software Tools, Techniques and Architectures for Computer Simulation." SIMULATION 86, no. 5-6 (May 2010): 267–69. http://dx.doi.org/10.1177/0037549710369877.

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Bazzana, G., R. Brigliadori, R. Cole, K. Kirkwood, and F. Seigneur. "Techniques and tools for software assessment and certification." Annual Review in Automatic Programming 16 (January 1992): 153–60. http://dx.doi.org/10.1016/0066-4138(92)90024-j.

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Buono, S., I. Gaponenko, R. Jones, A. Khodabandeh, L. Mapelli, G. Mornacchi, D. Prigent, et al. "Software engineering techniques and CASE tools in RD13." Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment 352, no. 1-2 (December 1994): 383–85. http://dx.doi.org/10.1016/0168-9002(94)91549-0.

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Feldman, Jerome A., and Thomas LeBlanc. "Coordinated computing: Tools and techniques for distributed software." Science of Computer Programming 5 (1985): 318–20. http://dx.doi.org/10.1016/0167-6423(85)90019-x.

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Srivastava, Nishi, Ujjwal Kumar, and Pawan Singh. "Software and Performance Testing Tools." Journal of Informatics Electrical and Electronics Engineering (JIEEE) 2, no. 1 (January 5, 2021): 1–12. http://dx.doi.org/10.54060/jieee/002.01.001.

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Software Testing may be a method, that involves, death penalty of a software system program/application and finding all errors or bugs therein program/application in order that the result is going to be a defect-free software system. Quality of any software system will solely be acknowledged through means that of testing (software testing). Through the advancement of technology round the world, there inflated the quantity of verification techniques and strategies to check the software system before it goes to production and astray to promote. Automation Testing has created its impact within the testing method. Now-a-days, most of the software system testing is finished with the automation tools that not solely lessens the quantity of individuals operating around that software system however additionally the errors which will be loose through the eyes of the tester. Automation take look acting contains test cases that make the work simple to capture totally different eventualities and store them. Therefore, software system automation testing method plays a significant role within the software system testing success. This study aims in knowing differing kinds of software system testing, software system testing techniques and tools and to match manual testing versus automation testing.
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Baker, Thar, Dhiya Al‐Jumeily, Zakaria Maamar, and Zahir Tari. "Semantic eSystems : Engineering methods, techniques, and tools." Software: Practice and Experience 51, no. 3 (January 11, 2021): 487–88. http://dx.doi.org/10.1002/spe.2952.

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Dissertations / Theses on the topic "Software Tools and Techniques"

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Lomsak, Daniel. "Toward More Composable Software-Security Policies: Tools and Techniques." Scholar Commons, 2013. http://scholarcommons.usf.edu/etd/4531.

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Complex software-security policies are dicult to specify, understand, and update. The same is true for complex software in general, but while many tools and techniques exist for decomposing complex general software into simpler reusable modules (packages, classes, functions, aspects, etc.), few tools exist for decomposing complex security policies into simpler reusable modules. The tools that do exist for modularizing policies either encapsulate entire policies as atomic modules that cannot be decomposed or allow ne-grained policy modularization but require expertise to use correctly. This dissertation presents a policy-composition tool called PoliSeer [27, 26] and the PoCo policy-composition software-security language. PoliSeer is a GUI-based tool designed to enable users who are not expert policy engineers to exibly specify, visualize, modify, and enforce complex runtime policies on untrusted software. PoliSeer users rely on expert policy engineers to specify universally composable policy modules; PoliSeer users then build complex policies by composing those expert-written modules. This dissertation describes the design and implementation of PoliSeer and a case study in which we have used PoliSeer to specify and enforce a policy on PoliSeer itself. PoCo is a language for specifying composable software-security policies. PoCo users specify software-security policies in terms of abstract input-output event sequences. The policy outputs are expressive, capable of describing all desired, irrelevant, and prohibited events at once. These descriptive outputs compose well: operations for combining them satisfy a large number of algebraic properties, which allows policy hierarchies to be designed more simply and naturally. We demonstrate PoCo's capability via a case study in which a sophisticated policy is implemented in PoCo.
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O'Neill, I. M. "Logic programming tools and techniques for imperative program verification." Thesis, University of Southampton, 1987. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.380044.

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D'Souza, Rosario J. "Techniques and tools for implementing and testing robust object-oriented software." Diss., Georgia Institute of Technology, 1994. http://hdl.handle.net/1853/9198.

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Serrano, José Artur Ferreira da Silva e. Vale. "Automatic generation of software design tools supporting semantics of modelling techniques." Thesis, University of Glasgow, 1997. http://theses.gla.ac.uk/7018/.

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A generic visual language for diagram editing has been created which may be instantiated for a particular modelling technique. The instantiated visual language is used within the generated design tool. It provides non-obtrusive guidance observing the semantics of the underlying modelling technique. The tool user is allowed to produce intermediate inconsistent states to facilitate diagram editing. A prototype, comprising a compiler for the specification language, a multi-purpose graph tool and a configurable design tool was implemented to prove the feasibility of the complete approach. The prototype compiler generates executable code. The target of the compiler is the persistent programming language Napier88. The architecture of the compiler has been designed as two separate components: a front-end (the parser), and a back-end (the code generator). This approach gives independence from the target language. The code generator comprises a number of translation rules to produce Napier88 from a VC-t specification. The prototype compiler only incorporates some of the translation rules to demonstrate that executable Napier88 can be generated automatically. The remainder of the translation rules have been applied manually to produce Napier88, to demonstrate that the rules are correct. The multi-purpose graph tool, designated as GraphTool, can be used with the class of applications using graphs as their main data structures. It provides support for visual and interactive representations of an application. The application acts as a client of the Graph-Tool. A protocol has been defined to connect the client application to the GraphTool. Any number of visual representations can be associated with the application. Maps are used for this purpose: to change the representation it is only necessary to change the map. The GraphTool includes a constraint manager used to associate constraints with the representations objects and check these at run-time. The configurable design tool has been developed as a client for the GraphTool. It includes generic components for diagram editing and a drawing canvas. The functionality of the canvas is fully provided by the GraphTool.
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Bagherli, J. "High level techniques and software tools for custom VLSI parser design." Thesis, University of Kent, 1985. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.371141.

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Waters, Matthew. "Application of software engineering tools and techniques to PLC programming : innovation report." Thesis, University of Warwick, 2009. http://wrap.warwick.ac.uk/36897/.

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The software engineering tools and techniques available for use in traditional information systems industries are far more advanced than in the manufacturing and production industries. Consequently there is a paucity of ladder logic programming support tools. These tools can be used to improve the way in which ladder logic programs are written, to increase the quality and robustness of the code produced and minimise the risk of software related downtime. To establish current practice and to ascertain the needs of industry a literature review and a series of interviews with industrial automation professionals were conducted. Two opportunities for radical improvement were identified; a tool to measure software metrics for code written in ladder logic and a tool to detect cloned code within a ladder program. Software metrics quantify various aspects of code and can be used to assess code quality, measure programmer productivity, identify weak code and develop accurate costing models with respect to code. They are quicker, easier and cheaper than alternative code reviewing strategies such as peer review and allow organisations to make evidence based decisions with respect to code. Code clones occur because reuse of copied and pasted code increases programmer productivity in the short term, but make programs artificially large and can spread bugs. Cloned code can be removed with no loss of functionality, dramatically reducing the the size of a program. To implement these tools, a compiler front end for ladder logic was first constructed. This included a lexer with 24 lexical modes, 71 macro definitions and 663 token definitions as well as a 729 grammar rule parser. The software metrics tool and clone detection tool perform analyses on an abstract sytax tree, the output from the compiler. The tools have been designed to be as user friendly as possible. Metrics results are compiled in XML reports that can be imported into spreadsheet applications, and the clone detector generates easily navigable HTML reports for each clone as well as an index file of all clones that contains hyperlinks to all clone reports. Both tools were demonstrated by analysing real factory code from a Jaguar Land Rover body in white line. The metrics tool analysed over 1.5 million lines of ladder logic code contained within 23 files and 8466 routines. The results identified those routines that are abnormally complex in addition to routines that are excessively large. These routines are a likely source of problems in future and action to improve them immediately is recommended. The clone detector analysed 59K lines from a manufacturing cell. The results of this analysis proved that the code could be reduced in volume by 43.9% and found previously undetected bugs. By removing clones for all factory code, the code would be reduced in size by so much that it could run on as much as 25% fewer PLCs, yielding a significant saving on hardware costs alone. De-cloned code is also easier to make modifications to, so this process goes some way towards future-proofing the code.
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Tristram, Waide Barrington. "Investigating tools and techniques for improving software performance on multiprocessor computer systems." Thesis, Rhodes University, 2012. http://hdl.handle.net/10962/d1006651.

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The availability of modern commodity multicore processors and multiprocessor computer systems has resulted in the widespread adoption of parallel computers in a variety of environments, ranging from the home to workstation and server environments in particular. Unfortunately, parallel programming is harder and requires more expertise than the traditional sequential programming model. The variety of tools and parallel programming models available to the programmer further complicates the issue. The primary goal of this research was to identify and describe a selection of parallel programming tools and techniques to aid novice parallel programmers in the process of developing efficient parallel C/C++ programs for the Linux platform. This was achieved by highlighting and describing the key concepts and hardware factors that affect parallel programming, providing a brief survey of commonly available software development tools and parallel programming models and libraries, and presenting structured approaches to software performance tuning and parallel programming. Finally, the performance of several parallel programming models and libraries was investigated, along with the programming effort required to implement solutions using the respective models. A quantitative research methodology was applied to the investigation of the performance and programming effort associated with the selected parallel programming models and libraries, which included automatic parallelisation by the compiler, Boost Threads, Cilk Plus, OpenMP, POSIX threads (Pthreads), and Threading Building Blocks (TBB). Additionally, the performance of the GNU C/C++ and Intel C/C++ compilers was examined. The results revealed that the choice of parallel programming model or library is dependent on the type of problem being solved and that there is no overall best choice for all classes of problem. However, the results also indicate that parallel programming models with higher levels of abstraction require less programming effort and provide similar performance compared to explicit threading models. The principle conclusion was that the problem analysis and parallel design are an important factor in the selection of the parallel programming model and tools, but that models with higher levels of abstractions, such as OpenMP and Threading Building Blocks, are favoured.
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Siviter, D. "HyperCourseware : the development of software tools and techniques to enable courseware management." Thesis, London South Bank University, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.618644.

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Kågström, Simon. "Tools, techniques, and trade-offs when porting large software systems to new environments /." Karlskrona : Department of Systems and Software Engineering, Blekinge Institute of Technology, 2008. http://www.bth.se/fou/Forskinfo.nsf/allfirst2/8007549c674e519dc1257452003440f5?OpenDocument.

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Kågström, Simon. "Tools, Techniques, and Trade-offs when Porting Large Software Systems to New Environments." Doctoral thesis, Blekinge Tekniska Högskola [bth.se], School of Engineering - Dept. of Systems and Software Engineering, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-00402.

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Computer hardware and software evolve very fast. With the advent of chip-multiprocessors and symmetric multithreading, multiprocessor hardware configurations are becoming prevalent. For software, new hardware and requirements such as security, performance and maintainability drive the development of new runtime environments, virtual machines and programming methodologies. These trends present problems when porting legacy software. Multiprocessor hardware require ports of uniprocessor operating system kernels while new software environments might require that programs have to be ported to different languages. This thesis examines the tradeoff between performance and development effort for software porting with case studies in operating system porting to multiprocessors and tool support for porting C and C++ applications to Java virtual machines. The thesis consists of seven papers. The first paper is a survey of existing multiprocessor development approaches and focuses on the tradeoff between performance and implementation effort. The second and third papers describe the evolution a traditional lock-based multiprocessor port, going from a serialized “giant locked” port and evolving into a coarse-grained implementation. The fourth paper instead presents an alternative porting approach which aims to minimize development effort. The fifth paper describes a tool for efficient instrumentation of programs, which can be used during the development of large software systems such as operating system kernels. The sixth and seventh papers finally describe a binary translator which translates MIPS binaries into Java bytecode to allow low-effort porting of C and C++ applications to Java virtual machines. The first main contributions of this thesis is an in-depth investigation of the techniques used when porting operating system kernels to multiprocessors, focusing on development effort and performance. The traditional approach used in the second and third papers required longer development time than expected, and the alternative approach in the fourth paper can therefore be preferable in some cases. The second main contribution is the development of a binary translator that targets portability of C and C++ applications to J2ME devices. The last two papers show that the approach is functional and has good enough performance to be feasible in real-life situations.
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Books on the topic "Software Tools and Techniques"

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Fujita, Hamido, and Ali Selamat, eds. Intelligent Software Methodologies, Tools and Techniques. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-17530-0.

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Fujita, Hamido, and Guido Guizzi, eds. Intelligent Software Methodologies, Tools and Techniques. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-22689-7.

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Bosch, Jan, and Charles Krueger, eds. Software Reuse: Methods, Techniques, and Tools. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/b98465.

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Gacek, Cristina, ed. Software Reuse: Methods, Techniques, and Tools. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-46020-9.

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Jobes, Keith. Software tools and techniques for electronic engineers. London: McGraw-Hill, 1994.

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Hazelwood, Kim. Dynamic binary modification: Tools, techniques, and applications. San Rafael, Calif. (1537 Fourth Street, San Rafael, CA 94901 USA): Morgan & Claypool, 2011.

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Fitzgerald, John. Modelling systems: Practical tools and techniques in software development. 2nd ed. Cambridge: Cambridge University Press, 2009.

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1964-, Larsen P. G., ed. Modelling systems: Practical tools and techniques in software development. 2nd ed. Cambridge: Cambridge University Press, 2009.

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International, Conference on New Trends in Software Methodologies Tools and Techniques (7th 2008 Sharjah United Arab Emirates). New trends in software methodologies, tools and techniques. Amsterdam: IOS Press, 2008.

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International Conference on New Trends in Software Methodologies, Tools and Techniques (6th 2007 Rome, Italy). New trends in software methodologies, tools and techniques. Amsterdam: IOS Press, 2007.

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Book chapters on the topic "Software Tools and Techniques"

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Lago, P., P. Avgeriou, J. Grundy, J. Hall, and I. Mistrík. "Tools and Techniques." In Relating Software Requirements and Architectures, 87–89. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21001-3_6.

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Sessions, Roger. "Software Fortresses." In Software Reuse: Methods, Techniques, and Tools, 327. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-46020-9_23.

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Crookshanks, Edward. "Build Tools and Continuous Integration." In Practical Software Development Techniques, 65–77. Berkeley, CA: Apress, 2014. http://dx.doi.org/10.1007/978-1-4842-0728-4_4.

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Martin-Rodilla, Patricia. "Existing Techniques and Tools." In Digging into Software Knowledge Generation in Cultural Heritage, 15–31. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-69188-6_3.

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Crookshanks, Edward. "Build Tools and Continuous Integration." In Practical Enterprise Software Development Techniques, 141–53. Berkeley, CA: Apress, 2015. http://dx.doi.org/10.1007/978-1-4842-0620-1_9.

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Wang, Xiaofeng, Dongming Tang, Hui Zheng, and Ke Zhang. "Study and Implementation of Minority Mobile Application Recommendation Software." In Simulation Tools and Techniques, 559–66. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-32216-8_54.

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Bosch, Jan. "Architecture-Centric Software Engineering." In Software Reuse: Methods, Techniques, and Tools, 347–48. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-46020-9_36.

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Varga, Andreas. "Descriptor System Techniques and Software Tools." In Encyclopedia of Systems and Control, 1–10. London: Springer London, 2019. http://dx.doi.org/10.1007/978-1-4471-5102-9_100054-1.

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Brohi, Allah Bachayo, Pinial Khan Butt, and Shaobo Zhang. "Software Quality Assurance: Tools and Techniques." In Security, Privacy, and Anonymity in Computation, Communication, and Storage, 283–91. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-24900-7_23.

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Wuyts, Roel, Holger M. Kienle, Kim Mens, Mark van den Brand, and Adrian Kuhn. "Academic Software Development Tools and Techniques." In Lecture Notes in Computer Science, 87–103. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-02047-6_10.

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Conference papers on the topic "Software Tools and Techniques"

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Bruneo, Dario, Francesco Longo, Antonio Puliafito, Marco Scarpa, and Salvatore Distefano. "Software Rejuvenation in the Cloud." In Fifth International Conference on Simulation Tools and Techniques. ACM, 2012. http://dx.doi.org/10.4108/icst.simutools.2012.247772.

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Sneha, Karuturi, and Gowda M. Malle. "Research on software testing techniques and software automation testing tools." In 2017 International Conference on Energy, Communication, Data Analytics and Soft Computing (ICECDS). IEEE, 2017. http://dx.doi.org/10.1109/icecds.2017.8389562.

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Wienss, Jonathan, Michael Stein, and Roland Ewald. "Evaluating Simulation Software Components with Player Rating Systems." In Sixth International Conference on Simulation Tools and Techniques. ACM, 2013. http://dx.doi.org/10.4108/icst.simutools.2013.251723.

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Heindl, Armin, and Gilles Pokam. "Modeling software transactional memory with AnyLogic." In 2nd International ICST Conference on Simulation Tools and Techniques. ICST, 2009. http://dx.doi.org/10.4108/icst.simutools2009.5581.

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Pereira, Jose D'Abruzzo. "Techniques and Tools for Advanced Software Vulnerability Detection." In 2020 IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW). IEEE, 2020. http://dx.doi.org/10.1109/issrew51248.2020.00049.

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Black, Paul E., and Michael Kass. "Software security assurance tools, techniques and metrics (SSATTM)." In the 20th IEEE/ACM international Conference. New York, New York, USA: ACM Press, 2005. http://dx.doi.org/10.1145/1101908.1102001.

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Ferrier, Malcolm. "Effective quantitative business software selection: Tools and techniques." In 2017 Computing Conference. IEEE, 2017. http://dx.doi.org/10.1109/sai.2017.8252207.

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Tizzei, Leonardo P., Leonardo G. Azevedo, Maximilien de Bayser, and Renato F. G. Cerqueira. "Architecting cloud tools using software product line techniques." In SAC 2015: Symposium on Applied Computing. New York, NY, USA: ACM, 2015. http://dx.doi.org/10.1145/2695664.2695797.

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Saha, Trina, and Rajesh Palit. "Practices of Software Testing Techniques and Tools in Bangladesh Software Industry." In 2019 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE). IEEE, 2019. http://dx.doi.org/10.1109/csde48274.2019.9162355.

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Henss, Joerg, Philipp Merkle, and Ralf Reussner. "Poster Abstract: The OMPCM Simulator for Model-Based Software Performance Prediction." In Sixth International Conference on Simulation Tools and Techniques. ACM, 2013. http://dx.doi.org/10.4108/icst.simutools.2013.251704.

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Reports on the topic "Software Tools and Techniques"

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Black, Paul E., Michael Kass, and Elizabeth Fong. Proceedings of workshop on software security assurance tools, techniques, and metrics. Gaithersburg, MD: National Institute of Standards and Technology, 2006. http://dx.doi.org/10.6028/nist.sp.500-265.

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Shukla, Sandeep K., Julien R. Ouy, Mahesh Nanjundappa, Preeti Kumar, Matthew Anderson, Godwin Selvam, Matthew Kracht, Jasdeep S. Malhotra, Neil Murray, and Erik Rosenthal. Techniques and Tools for Trustworthy Composition of Pre-Designed Embedded Software Components. Fort Belvoir, VA: Defense Technical Information Center, July 2012. http://dx.doi.org/10.21236/ada564895.

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Black, Paul E., Elizabeth, Fong, Vadim Okun, and Romain Gaucher. Software assurance tools :. Gaithersburg, MD: National Institute of Standards and Technology, 2008. http://dx.doi.org/10.6028/nist.sp.500-269.

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Forney, Glenn P., and Walter W. Jones. Software development tools. Gaithersburg, MD: National Institute of Standards and Technology, 1990. http://dx.doi.org/10.6028/nist.ir.4363.

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Myers, Brad A. User Interface Software Tools. Fort Belvoir, VA: Defense Technical Information Center, August 1994. http://dx.doi.org/10.21236/ada286056.

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COMPUSEC INC SAN DIEGO CA. Secure Software Verification Tools. Fort Belvoir, VA: Defense Technical Information Center, February 1987. http://dx.doi.org/10.21236/ada189731.

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Kumfert, G., and T. Epperly. Modern Tools for Modern Software. Office of Scientific and Technical Information (OSTI), October 2001. http://dx.doi.org/10.2172/15002233.

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Smith, Douglas R., and Thomas T. Pressburger. Knowledge-Based Software Development Tools. Fort Belvoir, VA: Defense Technical Information Center, September 1993. http://dx.doi.org/10.21236/ada265218.

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Gavrila, Serban I., and Elizabeth Fong. Forensic software testing support tools :. Gaithersburg, MD: National Institute of Standards and Technology, 2004. http://dx.doi.org/10.6028/nist.ir.7103a.

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Baumgart, C. W. Intelligent Software Tools for Advanced Computing. Office of Scientific and Technical Information (OSTI), April 2001. http://dx.doi.org/10.2172/776968.

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