Software Testing and Analysis: Process, Principles, and Techniques
Total Page:16
File Type:pdf, Size:1020Kb
Load more
										Recommended publications
									
								- 
												  Programming Paradigms & Object-Oriented4.3 (Programming Paradigms & Object-Oriented- Computer Science 9608 Programming) with Majid Tahir Syllabus Content: 4.3.1 Programming paradigms Show understanding of what is meant by a programming paradigm Show understanding of the characteristics of a number of programming paradigms (low- level, imperative (procedural), object-oriented, declarative) – low-level programming Demonstrate an ability to write low-level code that uses various address modes: o immediate, direct, indirect, indexed and relative (see Section 1.4.3 and Section 3.6.2) o imperative programming- see details in Section 2.3 (procedural programming) Object-oriented programming (OOP) o demonstrate an ability to solve a problem by designing appropriate classes o demonstrate an ability to write code that demonstrates the use of classes, inheritance, polymorphism and containment (aggregation) declarative programming o demonstrate an ability to solve a problem by writing appropriate facts and rules based on supplied information o demonstrate an ability to write code that can satisfy a goal using facts and rules Programming paradigms 1 4.3 (Programming Paradigms & Object-Oriented- Computer Science 9608 Programming) with Majid Tahir Programming paradigm: A programming paradigm is a set of programming concepts and is a fundamental style of programming. Each paradigm will support a different way of thinking and problem solving. Paradigms are supported by programming language features. Some programming languages support more than one paradigm. There are many different paradigms, not all mutually exclusive. Here are just a few different paradigms. Low-level programming paradigm The features of Low-level programming languages give us the ability to manipulate the contents of memory addresses and registers directly and exploit the architecture of a given processor.
- 
												  Bioconductor: Open Software Development for Computational Biology and Bioinformatics Robert CView metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Collection Of Biostatistics Research Archive Bioconductor Project Bioconductor Project Working Papers Year 2004 Paper 1 Bioconductor: Open software development for computational biology and bioinformatics Robert C. Gentleman, Department of Biostatistical Sciences, Dana Farber Can- cer Institute Vincent J. Carey, Channing Laboratory, Brigham and Women’s Hospital Douglas J. Bates, Department of Statistics, University of Wisconsin, Madison Benjamin M. Bolstad, Division of Biostatistics, University of California, Berkeley Marcel Dettling, Seminar for Statistics, ETH, Zurich, CH Sandrine Dudoit, Division of Biostatistics, University of California, Berkeley Byron Ellis, Department of Statistics, Harvard University Laurent Gautier, Center for Biological Sequence Analysis, Technical University of Denmark, DK Yongchao Ge, Department of Biomathematical Sciences, Mount Sinai School of Medicine Jeff Gentry, Department of Biostatistical Sciences, Dana Farber Cancer Institute Kurt Hornik, Computational Statistics Group, Department of Statistics and Math- ematics, Wirtschaftsuniversitat¨ Wien, AT Torsten Hothorn, Institut fuer Medizininformatik, Biometrie und Epidemiologie, Friedrich-Alexander-Universitat Erlangen-Nurnberg, DE Wolfgang Huber, Department for Molecular Genome Analysis (B050), German Cancer Research Center, Heidelberg, DE Stefano Iacus, Department of Economics, University of Milan, IT Rafael Irizarry, Department of Biostatistics, Johns Hopkins University Friedrich Leisch, Institut fur¨ Statistik und Wahrscheinlichkeitstheorie, Technische Universitat¨ Wien, AT Cheng Li, Department of Biostatistical Sciences, Dana Farber Cancer Institute Martin Maechler, Seminar for Statistics, ETH, Zurich, CH Anthony J. Rossini, Department of Medical Education and Biomedical Informat- ics, University of Washington Guenther Sawitzki, Statistisches Labor, Institut fuer Angewandte Mathematik, DE Colin Smith, Department of Molecular Biology, The Scripps Research Institute, San Diego Gordon K.
- 
												  Paradigms of Computer ProgrammingParadigms of computer programming l This course aims to teach programming as a unified discipline that covers all programming languages l We cover the essential concepts and techniques in a uniform framework l Second-year university level: requires some programming experience and mathematics (sets, lists, functions) l The course covers four important themes: l Programming paradigms l Mathematical semantics of programming l Data abstraction l Concurrency l Let’s see how this works in practice Hundreds of programming languages are in use... So many, how can we understand them all? l Key insight: languages are based on paradigms, and there are many fewer paradigms than languages l We can understand many languages by learning few paradigms! What is a paradigm? l A programming paradigm is an approach to programming a computer based on a coherent set of principles or a mathematical theory l A program is written to solve problems l Any realistic program needs to solve different kinds of problems l Each kind of problem needs its own paradigm l So we need multiple paradigms and we need to combine them in the same program How can we study multiple paradigms? l How can we study multiple paradigms without studying multiple languages (since most languages only support one, or sometimes two paradigms)? l Each language has its own syntax, its own semantics, its own system, and its own quirks l We could pick three languages, like Java, Erlang, and Haskell, and structure our course around them l This would make the course complicated for no good reason
- 
												  The Machine That Builds Itself: How the Strengths of Lisp FamilyKhomtchouk et al. OPINION NOTE The Machine that Builds Itself: How the Strengths of Lisp Family Languages Facilitate Building Complex and Flexible Bioinformatic Models Bohdan B. Khomtchouk1*, Edmund Weitz2 and Claes Wahlestedt1 *Correspondence: [email protected] Abstract 1Center for Therapeutic Innovation and Department of We address the need for expanding the presence of the Lisp family of Psychiatry and Behavioral programming languages in bioinformatics and computational biology research. Sciences, University of Miami Languages of this family, like Common Lisp, Scheme, or Clojure, facilitate the Miller School of Medicine, 1120 NW 14th ST, Miami, FL, USA creation of powerful and flexible software models that are required for complex 33136 and rapidly evolving domains like biology. We will point out several important key Full list of author information is features that distinguish languages of the Lisp family from other programming available at the end of the article languages and we will explain how these features can aid researchers in becoming more productive and creating better code. We will also show how these features make these languages ideal tools for artificial intelligence and machine learning applications. We will specifically stress the advantages of domain-specific languages (DSL): languages which are specialized to a particular area and thus not only facilitate easier research problem formulation, but also aid in the establishment of standards and best programming practices as applied to the specific research field at hand. DSLs are particularly easy to build in Common Lisp, the most comprehensive Lisp dialect, which is commonly referred to as the “programmable programming language.” We are convinced that Lisp grants programmers unprecedented power to build increasingly sophisticated artificial intelligence systems that may ultimately transform machine learning and AI research in bioinformatics and computational biology.
- 
												  Scripting: Higher- Level Programming for the 21St Century. John K. Ousterhout Sun Microsystems Laboratories Scripting: Higher- Cybersquare Level Programming for the 21st Century Increases in computer speed and changes in the application mix are making scripting languages more and more important for the applications of the future. Scripting languages differ from system programming languages in that they are designed for “gluing” applications together. They use typeless approaches to achieve a higher level of programming and more rapid application development than system programming languages. or the past 15 years, a fundamental change has been ated with system programming languages and glued Foccurring in the way people write computer programs. together with scripting languages. However, several The change is a transition from system programming recent trends, such as faster machines, better script- languages such as C or C++ to scripting languages such ing languages, the increasing importance of graphical as Perl or Tcl. Although many people are participat- user interfaces (GUIs) and component architectures, ing in the change, few realize that the change is occur- and the growth of the Internet, have greatly expanded ring and even fewer know why it is happening. This the applicability of scripting languages. These trends article explains why scripting languages will handle will continue over the next decade, with more and many of the programming tasks in the next century more new applications written entirely in scripting better than system programming languages. languages and system programming
- 
												  IEC 61850: Role of Conformance Testing in Successful Integration1 IEC 61850: Role of Conformance Testing in Successful Integration Eric A. Udren, KEMA T&D Consulting Dave Dolezilek, Schweitzer Engineering Laboratories, Inc. Abstract—The IEC 61850 Standard, Communications Net- a single standard solution for communications integration hav- works and Systems in Substations, provides an internationally ing high-level capabilities not available from protocols in prior recognized method of local and wide area data communications use. The most important technical objectives were: for substation and system-wide protective relaying, integration, control, monitoring, metering, and testing. It has built-in capabil- 1. Use self-description and object modeling technol- ity for high-speed control and data sharing over the communica- ogy to simplify the integration and configuration tions network, eliminating most dedicated control wiring as well process for the user. as dedicated communications channels among substations. IEC 2. Dramatically increase the functional capabilities, 61850 facilitates systems built from multiple vendors’ IEDs. Many vendors have supported the standard throughout its crea- sophistication and complexity of the integration to tion, and they are developing products to handle all the needed meet users’ ultimate relaying, control, and enterprise functions. data integration needs. This paper is the third in a series on the evolution of IEC 3. Incorporate robust, very high-speed control commu- 61850. It focuses on the purpose and value of conformance test- nications messaging that can operate among relays ing and certification. IEC 61850 is aimed at making it easy for and other IEDs to eliminate panel wiring and con- utilities to install and integrate single-vendor or multivendor trols. control and protection systems in substations and to integrate existing communications.
- 
												  Six Canonical Projects by Rem Koolhaas5 Six Canonical Projects by Rem Koolhaas has been part of the international avant-garde since the nineteen-seventies and has been named the Pritzker Rem Koolhaas Architecture Prize for the year 2000. This book, which builds on six canonical projects, traces the discursive practice analyse behind the design methods used by Koolhaas and his office + OMA. It uncovers recurring key themes—such as wall, void, tur montage, trajectory, infrastructure, and shape—that have tek structured this design discourse over the span of Koolhaas’s Essays on the History of Ideas oeuvre. The book moves beyond the six core pieces, as well: It explores how these identified thematic design principles archi manifest in other works by Koolhaas as both practical re- Ingrid Böck applications and further elaborations. In addition to Koolhaas’s individual genius, these textual and material layers are accounted for shaping the very context of his work’s relevance. By comparing the design principles with relevant concepts from the architectural Zeitgeist in which OMA has operated, the study moves beyond its specific subject—Rem Koolhaas—and provides novel insight into the broader history of architectural ideas. Ingrid Böck is a researcher at the Institute of Architectural Theory, Art History and Cultural Studies at the Graz Ingrid Böck University of Technology, Austria. “Despite the prominence and notoriety of Rem Koolhaas … there is not a single piece of scholarly writing coming close to the … length, to the intensity, or to the methodological rigor found in the manuscript
- 
												  Construction Quality Assurance Plan Craighead County SolidCONSTRUCTION QUALITY ASSURANCE PLAN CRAIGHEAD COUNTY SOLID WASTE DISPOSAL AUTHORITY LEGACY CLASS 1 LANDFILL AFIN: 16-00199 ADEQ PERMIT NO. 0254-S1-R3 PREPARED FOR: Craighead County Solid Waste Disposal Authority 328 CR 476 PO Box 16777 Jonesboro, AR 72403-6712 (870) 972-6353 PREPARED BY: Terracon Consultants, Inc. 25809 Interstate 30 South Bryant, Arkansas 72022 (501) 847-9292 NOVEMBER 2008 CCSWDA Legacy Landfill Construction Quality Assurance Plan November 2008 TABLE OF CONTENTS SECTION 1 ..................................................................................................................................................................1 GENERAL ....................................................................................................................................................................1 1.0 INTRODUCTION .............................................................................................................................................1 2.0 DEFINITIONS RELATED TO CQA ................................................................................................................2 2.1 Construction Quality Assurance and Construction Quality Control ...........................................................2 2.2 Use of the Terms in This Plan ......................................................................................................................2 3.0 CQA AND CQC PARTIES .................................................................................................................................3
- 
												  Integration Testing of Object-Oriented SoftwarePOLITECNICO DI MILANO DOTTORATO DI RICERCA IN INGEGNERIA INFORMATICA E AUTOMATICA Integration Testing of Object-Oriented Software Ph.D. Thesis of: Alessandro Orso Advisor: Prof. Mauro Pezze` Tutor: Prof. Carlo Ghezzi Supervisor of the Ph.D. Program: Prof. Carlo Ghezzi XI ciclo To my family Acknowledgments Finding the right words and the right way for expressing acknowledgments is a diffi- cult task. I hope the following will not sound as a set of ritual formulas, since I mean every single word. First of all I wish to thank professor Mauro Pezze` , for his guidance, his support, and his patience during my work. I know that “taking care” of me has been a hard work, but he only has himself to blame for my starting a Ph.D. program. A very special thank to Professor Carlo Ghezzi for his teachings, for his willingness to help me, and for allowing me to restlessly “steal” books and journals from his office. Now, I can bring them back (at least the one I remember...) Then, I wish to thank my family. I owe them a lot (and even if I don't show this very often; I know this very well). All my love goes to them. Special thanks are due to all my long time and not-so-long time friends. They are (stricty in alphabetical order): Alessandro “Pari” Parimbelli, Ambrogio “Bobo” Usuelli, Andrea “Maken” Machini, Antonio “the Awesome” Carzaniga, Dario “Pitone” Galbiati, Federico “Fede” Clonfero, Flavio “Spadone” Spada, Gianpaolo “the Red One” Cugola, Giovanni “Negroni” Denaro, Giovanni “Muscle Man” Vigna, Lorenzo “the Diver” Riva, Matteo “Prada” Pradella, Mattia “il Monga” Monga, Niels “l’e´ semper chi” Kierkegaard, Pierluigi “San Peter” Sanpietro, Sergio “Que viva Mex- ico” Silva.
- 
												  Fuzzing Radio Resource Control Messages in 5G and LTE SystemsDEGREE PROJECT IN COMPUTER SCIENCE AND ENGINEERING, SECOND CYCLE, 30 CREDITS STOCKHOLM, SWEDEN 2021 Fuzzing Radio Resource Control messages in 5G and LTE systems To test telecommunication systems with ASN.1 grammar rules based adaptive fuzzer SRINATH POTNURU KTH ROYAL INSTITUTE OF TECHNOLOGY SCHOOL OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCE Fuzzing Radio Resource Control messages in 5G and LTE systems To test telecommunication systems with ASN.1 grammar rules based adaptive fuzzer SRINATH POTNURU Master’s in Computer Science and Engineering with specialization in ICT Innovation, 120 credits Date: February 15, 2021 Host Supervisor: Prajwol Kumar Nakarmi KTH Supervisor: Ezzeldin Zaki Examiner: György Dán School of Electrical Engineering and Computer Science Host company: Ericsson AB Swedish title: Fuzzing Radio Resource Control-meddelanden i 5G- och LTE-system Fuzzing Radio Resource Control messages in 5G and LTE systems / Fuzzing Radio Resource Control-meddelanden i 5G- och LTE-system © 2021 Srinath Potnuru iii Abstract 5G telecommunication systems must be ultra-reliable to meet the needs of the next evolution in communication. The systems deployed must be thoroughly tested and must conform to their standards. Software and network protocols are commonly tested with techniques like fuzzing, penetration testing, code review, conformance testing. With fuzzing, testers can send crafted inputs to monitor the System Under Test (SUT) for a response. 3GPP, the standardiza- tion body for the telecom system, produces new versions of specifications as part of continuously evolving features and enhancements. This leads to many versions of specifications for a network protocol like Radio Resource Control (RRC), and testers need to constantly update the testing tools and the testing environment.
- 
												  Empirical Evaluation of the Effectiveness and Reliability of Software Testing Adequacy Criteria and Reference Test SystemsEmpirical Evaluation of the Effectiveness and Reliability of Software Testing Adequacy Criteria and Reference Test Systems Mark Jason Hadley PhD University of York Department of Computer Science September 2013 2 Abstract This PhD Thesis reports the results of experiments conducted to investigate the effectiveness and reliability of ‘adequacy criteria’ - criteria used by testers to determine when to stop testing. The research reported here is concerned with the empirical determination of the effectiveness and reliability of both tests sets that satisfy major general structural code coverage criteria and test sets crafted by experts for testing specific applications. We use automated test data generation and subset extraction techniques to generate multiple tests sets satisfying widely used coverage criteria (statement, branch and MC/DC coverage). The results show that confidence in the reliability of such criteria is misplaced. We also consider the fault-finding capabilities of three test suites created by the international community to serve to assure implementations of the Data Encryption Standard (a block cipher). We do this by means of mutation analysis. The results show that not all sets are mutation adequate but the test suites are generally highly effective. The block cipher implementations are also seen to be highly ‘testable’ (i.e. they do not mask faults). 3 Contents Abstract ............................................................................................................................ 3 Table of Tables ...............................................................................................................
- 
												  Review of Model-Based Testing Approaches in Production Automation and Adjacent Domains—Current Challenges and Research GapsJournal of Software Engineering and Applications, 2015, 8, 499-519 Published Online September 2015 in SciRes. http://www.scirp.org/journal/jsea http://dx.doi.org/10.4236/jsea.2015.89048 Review of Model-Based Testing Approaches in Production Automation and Adjacent Domains—Current Challenges and Research Gaps Susanne Rӧsch1, Sebastian Ulewicz1, Julien Provost2, Birgit Vogel-Heuser1 1Institute of Automation and Information Systems, Technische Universität München, München, Germany 2Assistant Professorship for Safe Embedded Systems, Technische Universität München, München, Germany Email: [email protected], [email protected], [email protected], [email protected] Received 18 August 2015; accepted 27 September 2015; published 30 September 2015 Copyright © 2015 by authors and Scientific Research Publishing Inc. This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/ Abstract As production automation systems have been and are becoming more and more complex, the task of quality assurance is increasingly challenging. Model-based testing is a research field addressing this challenge and many approaches have been suggested for different applications. The goal of this paper is to review these approaches regarding their suitability for the domain of production automation in order to identify current trends and research gaps. The different approaches are classified and clustered according to their main focus which is either testing and test case genera- tion from some form of model automatons, test case generation from models used within the de- velopment process of production automation systems, test case generation from fault models or test case selection and regression testing.