Effective Methods for Software Testing
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Measuring the Software Size of Sliced V-Model Projects
2014 Joint Conference of the International Workshop on Software Measurement and the International Conference on Software Process and Product Measurement Measuring the Software Size of Sliced V-model Projects Andreas Deuter PHOENIX CONTACT Electronics GmbH Gregor Engels Dringenauer Str. 30 University of Paderborn 31812 Bad Pyrmont, Germany Zukunftsmeile 1 Email: [email protected] 33102 Paderborn, Germany Email: [email protected] Abstract—Companies expect higher productivity of their soft- But, the “manufacturing” of software within the standard ware teams when introducing new software development methods. production process is just a very short process when bringing Productivity is commonly understood as the ratio of output the binaries of the software to the device. This process is hardly created and resources consumed. Whereas the measurement of to optimize and does not reflect the “production of software” the resources consumed is rather straightforward, there are at all. The creation of the software is namely done in the several definitions for counting the output of a software de- developing teams by applying typical software engineering velopment. Source code-based metrics create a set of valuable figures direct from the heart of the software - the code. However, methods. However, to keep up with the high demands on depending on the chosen process model software developers and implementing new functionality (e.g. for PLC) the software testers produce also a fair amount of documentation. Up to development process within these companies must improve. now this output remains uncounted leading to an incomplete Therefore, they start to analyze their software processes in view on the development output. This article addresses this open detail and to identify productivity drivers. -
Testing E-Commerce Systems: a Practical Guide - Wing Lam
Testing E-Commerce Systems: A Practical Guide - Wing Lam As e-customers (whether business or consumer), we are unlikely to have confidence in a Web site that suffers frequent downtime, hangs in the middle of a transaction, or has a poor sense of usability. Testing, therefore, has a crucial role in the overall development process. Given unlimited time and resources, you could test a system to exhaustion. However, most projects operate within fixed budgets and time scales, so project managers need a systematic and cost- effective approach to testing that maximizes test confidence. This article provides a quick and practical introduction to testing medium- to large-scale transactional e-commerce systems based on project experiences developing tailored solutions for B2C Web retailing and B2B procurement. Typical of most e-commerce systems, the application architecture includes front-end content delivery and management systems, and back-end transaction processing and legacy integration. Aimed primarily at project and test managers, this article explains how to · establish a systematic test process, and · test e-commerce systems. The Test Process You would normally expect to spend between 25 to 40 percent of total project effort on testing and validation activities. Most seasoned project managers would agree that test planning needs to be carried out early in the project lifecycle. This will ensure the time needed for test preparation (establishing a test environment, finding test personnel, writing test scripts, and so on) before any testing can actually start. The different kinds of testing (unit, system, functional, black-box, and others) are well documented in the literature. -
Interpreting Reliability and Availability Requirements for Network-Centric Systems What MCOTEA Does
Marine Corps Operational Test and Evaluation Activity Interpreting Reliability and Availability Requirements for Network-Centric Systems What MCOTEA Does Planning Testing Reporting Expeditionary, C4ISR & Plan Naval, and IT/Business Amphibious Systems Systems Test Evaluation Plans Evaluation Reports Assessment Plans Assessment Reports Test Plans Test Data Reports Observation Plans Observation Reports Combat Ground Service Combat Support Initial Operational Test Systems Systems Follow-on Operational Test Multi-service Test Quick Reaction Test Test Observations 2 Purpose • To engage test community in a discussion about methods in testing and evaluating RAM for software-intensive systems 3 Software-intensive systems – U.S. military one of the largest users of information technology and software in the world [1] – Dependence on these types of systems is increasing – Software failures have had disastrous consequences Therefore, software must be highly reliable and available to support mission success 4 Interpreting Requirements Excerpts from capabilities documents for software intensive systems: Availability Reliability “The system is capable of achieving “Average duration of 716 hours a threshold operational without experiencing an availability of 95% with an operational mission fault” objective of 98%” “Mission duration of 24 hours” “Operationally Available in its intended operating environment “Completion of its mission in its with at least a 0.90 probability” intended operating environment with at least a 0.90 probability” 5 Defining Reliability & Availability What do we mean reliability and availability for software intensive systems? – One consideration: unlike traditional hardware systems, a highly reliable and maintainable system will not necessarily be highly available - Highly recoverable systems can be less available - A system that restarts quickly after failures can be highly available, but not necessarily reliable - Risk in inflating availability and underestimating reliability if traditional equations are used. -
Testing in the Software Development Life Cycle and Its Importance
International Journal of Engineering and Information Systems (IJEAIS) ISSN: 2643-640X Vol. 3 Issue 9, September – 2019, Pages: 15-20 Testing in the Software Development Life Cycle and its Importance Noortaj Department of Computing and Technology Abasyn University Peshawar, Pakistan Email: [email protected] Abstract : Software development life cycle is a structure followed by the development team within the software organization imposed on the development of software product. The important role of testing in the software development life cycle is to improve the performance, reliability, and quality of the software. I believe testing should be thoroughly planned and conducted throughout the Software development life cycle for best results. Hence, software testing is facing different challenges. In this article, i have explained different phases of the software development life cycle, different testing techniques and its importance. Keywords: Software Development Life Cycle Testing, Testing in the Software Development Process, Software Testing, Importance of testing. 1. INTRODUCTION Testing plays an important role in the software development life-cycle to recognize the defects in the development process and resolve those defects. But before the explanation of the Software development life cycle, I would like to explain the phases of the software development process. Phase 1 Requirement collection and Analysis: For the collection of requirements a discussion is conducted to analyze the requirements and to state how the problem should be solved. The main work of the requirement collection is to determine the anticipated issues and it helps companies to finalize the necessary timeline in order to complete the work of that system in time. -
Definition of Software Construction Artefacts for Software Construction
Chapter 3: Internet and Applications Definition of Software Construction Artefacts for Software Construction M.Zinn, G.Turetschek and A.D.Phippen Centre for Information Security and Network Research, University of Plymouth, Plymouth United Kingdom e-mail: [email protected]; [email protected], [email protected] Abstract The definition of a service based software construction process, published in 2007 (Zinn, 2007), builds on the use of software construction artefacts (SCA). These artefacts form useable building blocks (units of modelling) for software, which can be implemented in a software product by a service. The building blocks are categorized in four different types (GUI, data, function and structure). The foundation for the use of these artefacts is the method of the software construction process which constructs the software similar to the methods used in computer aided design (CAD). This paper refines and expands on the definition of the artefacts to present the current state of research in software construction procedures. It will show how the artefacts are constructed and how they can be used in software construction. In addition the software construction artefacts will be compared to components, modules and objects. Based on this definition of the application area, further potential scenarios for the use of the artefacts, as well as their properties and points still being worked on, are shown. The purpose is to create a more exact description, definition of the software construction artefacts to obtain a better understanding of the software construction process. Keywords Computer Aided Design (CAD), software construction process (SCP), software engineering, (web) services, software construction artefacts (SCA) and software construction services (SCS), model driven development (MDD) 1. -
QA and Testing Have Become More of a Concurrent Process
Special Feature: SW Testing “QA and testing have become more of a concurrent process rather than an end of lifecycle process” Manish Tandon, VP & Head– Independent Validation and Testing Solutions, Infosys Interview by: Anil Chopra, PCQuest n an exclusive interview with the PCQuest Editor, Manish talks become a software tester? about the global trends in software testing, skillsets required Software testing has evolved into a very special function and Ito enter the field, how technology has evolved in this area to anybody wanting to enter the domain requires two special provide higher ROI, and much more. An IIT and IIM graduate, skillsets. One is deep functional or domain skills to understand Manish is responsible for formulating and executing the business the functionality. Plus, you need specialized technical skills strategy for Independent Validation and Testing Solutions practice as well because you want to do automation, middleware, and at Infosys. He mentors the unit specifically in meeting business performance testing. It’s a unique combination, and we focus goals and targets. In addition, he manages critical relationships very strongly on both these dimensions. A good software tester with client executives, industry analysts, deal consultants, and should always have an eye for detail. So people who have a slightly anchors the training and development of key personnel. Provided critical eye and are willing to dig deeper always make much better here are his expert comments on the subject. testers than people who want to fly at 30k feet. Q> What are some of the global trends in the software Q> You mentioned that software testing is now required testing business? How do you see the market moving? for front-end applications. -
A Parallel Program Execution Model Supporting Modular Software Construction
A Parallel Program Execution Model Supporting Modular Software Construction Jack B. Dennis Laboratory for Computer Science Massachusetts Institute of Technology Cambridge, MA 02139 U.S.A. [email protected] Abstract as a guide for computer system design—follows from basic requirements for supporting modular software construction. A watershed is near in the architecture of computer sys- The fundamental theme of this paper is: tems. There is overwhelming demand for systems that sup- port a universal format for computer programs and software The architecture of computer systems should components so users may benefit from their use on a wide reflect the requirements of the structure of pro- variety of computing platforms. At present this demand is grams. The programming interface provided being met by commodity microprocessors together with stan- should address software engineering issues, in dard operating system interfaces. However, current systems particular, the ability to practice the modular do not offer a standard API (application program interface) construction of software. for parallel programming, and the popular interfaces for parallel computing violate essential principles of modular The positions taken in this presentation are contrary to or component-based software construction. Moreover, mi- much conventional wisdom, so I have included a ques- croprocessor architecture is reaching the limit of what can tion/answer dialog at appropriate places to highlight points be done usefully within the framework of superscalar and of debate. We start with a discussion of the nature and VLIW processor models. The next step is to put several purpose of a program execution model. Our Parallelism processors (or the equivalent) on a single chip. -
Usage of Prototyping in Software Testing
Multi-Knowledge Electronic Comprehensive Journal For Education And Science Publications (MECSJ) ISSUE (14), Nov (2018) www.mescj.com USAGE OF PROTOTYPING IN SOFTWARE TESTING 1st Khansaa Azeez Obayes Al-Husseini Babylon Technical Insitute , Al-Furat Al-Awsat Technical University,51015 Babylon,Iraq. 1st [email protected] 2nd Ali Hamzah Obaid Babylon Technical Insitute , Al-Furat Al-Awsat Technical University,51015 Babylon,Iraq. 2nd [email protected] Abstract: Prototyping process is an important part of software development. This article describes usage of prototyping using Question – and – Answer memory and visual prototype diesign to realize Prototyping software development model. It also includes review of different models of software lifecycle with comparison them with Prototyping model. Key word: Question – and – Answer , Prototype, Software Development, RAD model. 1. Introduction One of the most important parts of software development is project design. Software project designing as a process of project creation can be divided in two large parts (very conditional): design of the functionality and design of user interface. To design the functionality, tools such as UML and IDEF0 are used, which have already become industry standards for software development. In the design of the graphical user interface there are no established standards, there are separate recommendations, techniques, design features, traditions, operating conditions for software, etc. At the same time, an important, but not always properly performed, part of this process is prototyping, i.e. the creation of a prototype or prototype of a future system. Prototypes can be different: paper, presentation, imitation, etc., up to exact correspondence to the future program. Most of the modern integrated development environments for software (IDE) allows to create something similar to prototypes, but it is connected with specific knowledge of IDE and programming language. -
Object-Oriented Software Construction Oriented Software Construction Software Construction I Software Construction II
ObjectObject--orientedoriented software construction Analysis/Requirements: What am I doing? Design: Which classes and methods? Implementation: How do I do it? Testing: Does it work? Maintenance: I just turn it in, right? Software Construction I z Programming is not just coding and debugging! z Analysis Analysis – English description of what system models, Design to meet a requirement or specification Implementation – Usually involves working with non-programmer Testing Maintenance to develop detailed specifications Waterfall model of software development z DiDesign: Mtit!Measure twice, cut once! – divide & conquer: system is composed of smaller subsystems which in turn may be composed of even smaller subsystems z OOP, system is decomposed into a set of cooperating objects – Pseudocode: describe tasks, subtasks, and how they relate – hand-simulation: desk-check pseudocode by stepping through it without using a computer – often use diagrams to better communicate the structure of the system z Often flowcharts in procedural languages and UML diagrams in OOP Wright State University, College of Engineering CS 241 Dr. T. Doom, Computer Science & Engineering Computer Programming II 58 Software Construction II z Implementation – Pick a language Analysis Design – emphasize good problem decomposition, Implementation well structured design, and readable, Testing well-documented programming style Maintenance –mayyg need to backtrack and redesign Waterfall model of software development z Testing – submitting input data or sample user interactions and seeing if program reacts properly – typically done in stages, starting with individual components and working up to subsystems, and eventually the entire program – bugs: errors in code or design – debugging: process of removing program bugs Wright State University, College of Engineering CS 241 Dr. -
6.005 Elements of Software Construction Fall 2008
MIT OpenCourseWare http://ocw.mit.edu 6.005 Elements of Software Construction Fall 2008 For information about citing these materials or our Terms of Use, visit: http://ocw.mit.edu/terms. 10/15/2008 Today’s Topics how to avoid debugging ¾assertions ¾code reviews how to do it when you have to ¾reducing test cases ¾hypothesis-driven debugging ¾binary search Debugging very hard bugs Rob Miller ¾Heisenbugs Fall 2008 © Robert Miller 2008 © Robert Miller 2008 Defensive Programming First Defense: Impossible By Design first defense against bugs is to make them impossible in the language ¾Java makes buffer overflow bugs impossible ¾automatic array bounds checking make buffer overflow bugs impossible second defense against bugs is to not make them ¾static typing eliminates many runtime type errors ¾correctness: get things riihght first time in the protocols/libraries/modules third defense is to make bugs easy to find ¾TCP/IP guarantees that data is not reordered ¾local visibility of errors: if things fail, we'd rather they fail loudly and ¾BigInteger guarantees that there will be no overflow immediately – e.g. with assertions in self-imposed conventions fourth defense is extensive testing ¾immutable objects can be passed around and shared without fear ¾uncover as many bugs as possible ¾caution: you have to keep the discipline last resort is dbidebugging • get the language to hel p you as much as possible , e.g. with pritivate and final ¾needed when effect of bug is distant from cause © Robert Miller 2008 © Robert Miller 2008 1 10/15/2008 Second Defense: Correctness Third Defense: Immediate Visibility get things right the first time if we can't prevent bugs, we can try to localize them to ¾don’t code before you think! Think before you code. -
Lecturer: Ting Wang (王挺)
Lecturer: Ting Wang (王挺) 利物浦大学计算机博士 清华大学计算机博士后 电子信息技术高级工程师 上海外国语大学网络与新媒体副教授 浙江清华长三角研究院海纳认知与智能研究中心主任 New Media Product DevelopmentDesign and Dr. Ting WANG School of Journalism and Communication Haina Cognition and Intelligence Research Center Shanghai International Studies University Yangtze Delta Region Institute of Tsinghua University, Zhejiang An overview to Part 01 software testing Testing in the software development Project Manager (Requirement Analyzer) System Analysis Release Structure Designer System Analysis Quality Assurance Engineer Requirement Analyzer Structure Design Testing Structure Design Programmer Structure Designer V-model Coding Coding Programmer Waterfall model Testing Quality Assurance Engineer Release Project Manager What is software testing? Software Testing Definition according to ANSI/IEEE 1059 standard -- A process of analyzing a software item to detect the differences between existing and required conditions (i.e., defects) and to evaluate the features of the software item. https://www.softwaretestingmaterial.com/software-testing/ “Testing shows the presence, not the absence of bugs.” —Edsger W. Dijkstra Edsger W. Dijkstra (May 11, 1930 - Aug 06, 2002) was a Dutch systems scientist, programmer, software engineer, science essayist, and pioneer in computing science. Bug Fault (also called “defect” or “bug”) is an erroneous hardware or software element of a system that can cause the system to fail. Reasons why software has bugs human mistakes in software design and coding. The longer a software bug exists throughout the product life-cycle, the more it costs. In 2002, software bugs cost the United States economy approximately $59.5 billion. In 2016, that number jumped to $1.1 trillion. https://dzone.com/articles/api-testing-best-practices 20 reasons for software bugs Reasons in development Reasons in testing #1) Miscommunication or No Communication #11) Not having a proper test setup (test environment) for testing all requirements. -
Automated Testing of Firmware Installation and Update Scenarios for Peripheral Devices
DEGREE PROJECT IN COMPUTER SCIENCE AND ENGINEERING, SECOND CYCLE, 30 CREDITS STOCKHOLM, SWEDEN 2019 Automated testing of firmware installation and update scenarios for peripheral devices DAG REUTERSKIÖLD KTH ROYAL INSTITUTE OF TECHNOLOGY SCHOOL OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCE Automated testing of firmware installation and update scenarios for peripheral devices DAG REUTERSKIÖLD Master in Computer Science Date: August 12, 2019 Supervisor: Hamid Faragardi Examiner: Elena Troubitsyna School of Electrical Engineering and Computer Science Host company: Tobii AB Swedish title: Automatisering av enhetsinstallation, uppdatering och testning med hjälp av virtuella maskiner iii Abstract This research presents an approach to transition from manual to automated testing of hardware specific firmware. The manual approach for firmware test- ing can be repetitive and time consuming. A significant proportion of the time is spent on cleaning and re-installing operating systems so that old firmware does not interfere with the newer firmware that is being tested. The approach in this research utilizes virtual machines and presents an automation framework. One component of the automation framework is an application to imitate con- nected peripheral devices to bypass hardware dependencies of firmware in- stallers. The framework also consists of automation and pipeline scripts with the objective to execute firmware installers and detect errors and abnormalities in the installation and updating processes. The framework can run on locally hosted virtual machines, but is most applicable using cloud hosted virtual ma- chines, where it is part of a continuous integration that builds, downloads, installs, updates and tests new firmware versions, in a completely automated manner. The framework is evaluated by measuring and comparing execution times with manually conducted installation and updating tests, and the result shows that the framework complete tests much faster than the manual approach.