Effectiveness and Challenges in Generating Concurrent Tests For
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Effectiveness of Software Testing Techniques in Enterprise: a Case Study
MYKOLAS ROMERIS UNIVERSITY BUSINESS AND MEDIA SCHOOL BRIGITA JAZUKEVIČIŪTĖ (Business Informatics) EFFECTIVENESS OF SOFTWARE TESTING TECHNIQUES IN ENTERPRISE: A CASE STUDY Master Thesis Supervisor – Assoc. Prof. Andrej Vlasenko Vilnius, 2016 CONTENTS INTRODUCTION .................................................................................................................................. 7 1. THE RELATIONSHIP BETWEEN SOFTWARE TESTING AND SOFTWARE QUALITY ASSURANCE ........................................................................................................................................ 11 1.1. Introduction to Software Quality Assurance ......................................................................... 11 1.2. The overview of Software testing fundamentals: Concepts, History, Main principles ......... 20 2. AN OVERVIEW OF SOFTWARE TESTING TECHNIQUES AND THEIR USE IN ENTERPRISES ...................................................................................................................................... 26 2.1. Testing techniques as code analysis ....................................................................................... 26 2.1.1. Static testing ...................................................................................................................... 26 2.1.2. Dynamic testing ................................................................................................................. 28 2.2. Test design based Techniques ............................................................................................... -
Lecture 4 Resource Protection and Thread Safety
Concurrency and Correctness – Resource Protection and TS Lecture 4 Resource Protection and Thread Safety 1 Danilo Piparo – CERN, EP-SFT Concurrency and Correctness – Resource Protection and TS This Lecture The Goals: 1) Understand the problem of contention of resources within a parallel application 2) Become familiar with the design principles and techniques to cope with it 3) Appreciate the advantage of non-blocking techniques The outline: § Threads and data races: synchronisation issues § Useful design principles § Replication, atomics, transactions and locks § Higher level concrete solutions 2 Danilo Piparo – CERN, EP-SFT Concurrency and Correctness – Resource Protection and TS Threads and Data Races: Synchronisation Issues 3 Danilo Piparo – CERN, EP-SFT Concurrency and Correctness – Resource Protection and TS The Problem § Fastest way to share data: access the same memory region § One of the advantages of threads § Parallel memory access: delicate issue - race conditions § I.e. behaviour of the system depends on the sequence of events which are intrinsically asynchronous § Consequences, in order of increasing severity § Catastrophic terminations: segfaults, crashes § Non-reproducible, intermittent bugs § Apparently sane execution but data corruption: e.g. wrong value of a variable or of a result Operative definition: An entity which cannot run w/o issues linked to parallel execution is said to be thread-unsafe (the contrary is thread-safe) 4 Danilo Piparo – CERN, EP-SFT Concurrency and Correctness – Resource Protection and TS To Be Precise: Data Race Standard language rules, §1.10/4 and /21: • Two expression evaluations conflict if one of them modifies a memory location (1.7) and the other one accesses or modifies the same memory location. -
Clojure, Given the Pun on Closure, Representing Anything Specific
dynamic, functional programming for the JVM “It (the logo) was designed by my brother, Tom Hickey. “It I wanted to involve c (c#), l (lisp) and j (java). I don't think we ever really discussed the colors Once I came up with Clojure, given the pun on closure, representing anything specific. I always vaguely the available domains and vast emptiness of the thought of them as earth and sky.” - Rich Hickey googlespace, it was an easy decision..” - Rich Hickey Mark Volkmann [email protected] Functional Programming (FP) In the spirit of saying OO is is ... encapsulation, inheritance and polymorphism ... • Pure Functions • produce results that only depend on inputs, not any global state • do not have side effects such as Real applications need some changing global state, file I/O or database updates side effects, but they should be clearly identified and isolated. • First Class Functions • can be held in variables • can be passed to and returned from other functions • Higher Order Functions • functions that do one or both of these: • accept other functions as arguments and execute them zero or more times • return another function 2 ... FP is ... Closures • main use is to pass • special functions that retain access to variables a block of code that were in their scope when the closure was created to a function • Partial Application • ability to create new functions from existing ones that take fewer arguments • Currying • transforming a function of n arguments into a chain of n one argument functions • Continuations ability to save execution state and return to it later think browser • back button 3 .. -
Effective Testing for Concurrency Bugs
Effective Testing for Concurrency Bugs Thesis for obtaining the title of Doctor of Engineering Science of the Faculties of Natural Science and Technology I of Saarland University From Pedro Fonseca Saarbr¨ucken, 13. April 2015 Date of Colloquium: 24/06/2015 Dean of Faculty: Univ.-Prof. Dr. Markus Bl¨aser Chair of the Committee: Prof. Dr. Andreas Zeller First Reviewer: Prof. Dr. Rodrigo Rodrigues Second Reviewer: Prof. Dr. Peter Druschel Third Reviewer: Prof. Dr. George Candea Forth Reviewer: Dr. Bj¨orn Brandenburg Academic Assistant: Dr. Przemyslaw Grabowicz ii c 2015 Pedro Fonseca ALL RIGHTS RESERVED iii Dedicated to my parents and brother v This work was supported by the Foundation for Science and Technology of Portugal (SFRH/BD/45309/2008) and the Max Planck Society vi Abstract In the current multi-core era, concurrency bugs are a serious threat to software reliability. As hardware becomes more parallel, concurrent programming will become increasingly pervasive. However, correct concurrent programming is known to be extremely chal- lenging for developers and can easily lead to the introduction of concurrency bugs. This dissertation addresses this challenge by proposing novel techniques to help developers expose and detect concurrency bugs. We conducted a bug study to better understand the external and internal effects of real-world concurrency bugs. Our study revealed that a significant fraction of concur- rency bugs qualify as semantic or latent bugs, which are two particularly challenging classes of concurrency bugs. Based on the insights from the study, we propose a con- currency bug detector, PIKE that analyzes the behavior of program executions to infer whether concurrency bugs have been triggered during a concurrent execution. -
Professional Software Testing Using Visual Studio 2019
Professional Software Testing Using Visual Studio 2019 Learn practical steps to reduce quality issues and meet release dates and budgets Shift your testing activities left to find bugs sooner Improve collaboration between the developers and testers Get hands-on experience with Visual Studio 2019, Azure DevOps Services, and common marketplace tools. Through a combination of lecture, demonstrations, and team-based exercises, learn to deliver high-quality increments of software on regular iterations using the tools found in Visual Studio, Azure DevOps Services, and the community marketplace. This three-day course provides students with practical software testing techniques and technical skills, as well as exposure to Test-Driven Development (TDD), Acceptance Test-Driven Development (ATDD), Test Impact Analysis, Continuous Integration (CI), and more. Understand and practice development testing acceptance testing, and exploratory testing. Create automated acceptance tests in Visual Studio, use SpecFlow to automate acceptance testing, and learn to use Microsoft Test Runner. Learn to plan and track work, manage test cases, and more utilizing Azure DevOps Services and associated tools. Who Should Attend This course is appropriate for all members of a software development team, especially those performing testing activities. This course also provides value for non-testers (developers, designers, managers, etc.) who want a better understanding of what agile software testing involves. This is an independent course and is neither affiliated with, nor authorized, sponsored, or approved by, Microsoft Corporation. Course Outline Agile Software Testing Exploratory Tests Overview of agile software development Introduction to exploratory tests The agile tester and agile testing practices Using the Microsoft Test & Feedback extension Different types of testing Connected mode vs. -
Java Concurrency in Practice
Java Concurrency in practice Chapters: 1,2, 3 & 4 Bjørn Christian Sebak ([email protected]) Karianne Berg ([email protected]) INF329 – Spring 2007 Chapter 1 - Introduction Brief history of concurrency Before OS, a computer executed a single program from start to finnish But running a single program at a time is an inefficient use of computer hardware Therefore all modern OS run multiple programs (in seperate processes) Brief history of concurrency (2) Factors for running multiple processes: Resource utilization: While one program waits for I/O, why not let another program run and avoid wasting CPU cycles? Fairness: Multiple users/programs might have equal claim of the computers resources. Avoid having single large programs „hog“ the machine. Convenience: Often desirable to create smaller programs that perform a single task (and coordinate them), than to have one large program that do ALL the tasks What is a thread? A „lightweight process“ - each process can have many threads Threads allow multiple streams of program flow to coexits in a single process. While a thread share process-wide resources like memory and files with other threads, they all have their own program counter, stack and local variables Benefits of threads 1) Exploiting multiple processors 2) Simplicity of modeling 3) Simplified handling of asynchronous events 4) More responsive user interfaces Benefits of threads (2) Exploiting multiple processors The processor industry is currently focusing on increasing number of cores on a single CPU rather than increasing clock speed. Well-designed programs with multiple threads can execute simultaneously on multiple processors, increasing resource utilization. -
Professional Software Testing Using Visual Studio 2019 PTVS2019 | 3 Days
Professional Software Testing Using Visual Studio 2019 PTVS2019 | 3 Days This three-day course will introduce you to the contemporary testing principles and practices used by agile teams to deliver high-quality increments of software on regular iterations. Through a combination of lecture, demonstrations, and team-based exercises, students will experience how to do this by leveraging the tools found in Visual Studio, Azure DevOps Services, and the community marketplace. Course Objectives At course completion, attendees will have had exposure to: ✓ Agile software development and testing ✓ Acceptance Test-Driven Development (ATDD) ✓ The role of the agile tester ✓ Creating automated acceptance tests in Visual Studio ✓ Developer and tester collaboration ✓ Using SpecFlow to automate acceptance testing ✓ Agile software requirements ✓ Using Microsoft Test Runner ✓ Introduction to Azure DevOps Services ✓ Testing web and desktop applications ✓ Using Azure Boards to plan and track work ✓ Capturing screenshots and video while testing ✓ Creating, managing, and refining a product backlog ✓ Viewing and charting test run results ✓ Defining and planning for quality software ✓ Using Selenium for automated web UI testing ✓ Using Azure Test Plans for test case management ✓ Using Appium for automated desktop UI testing ✓ Creating and managing test plans ✓ Performance and load testing ✓ Organizing test cases into test suites ✓ Introduction to exploratory testing ✓ Test configurations and configuration variables ✓ Using the Microsoft Test & Feedback extension ✓ Creating and managing test cases ✓ Creating a work item during a testing session ✓ Creating parameterized test cases ✓ Exploratory testing tours ✓ Leveraging shared steps ✓ Requesting and providing stakeholder feedback ✓ Importing and exporting test artifacts ✓ Introduction to Azure Pipelines ✓ Triaging and reporting bugs ✓ Building, testing, & releasing code using Azure Pipelines ✓ Extending Azure Test Plans ✓ Hosted vs. -
Software Engineering
SOFTWARE ENGINEERING FUNDAMENTALS OF SOFTWARE TESTING Software testing is the evaluation of a system with the intention of finding an error or fault or a bug. It also checks for the functionalities of the system so that it meets the specified requirements. LEARNING OBJECTIVES • To execute a program with the intent of finding an error. • To check if the system meets the requirements and be executed successfully in the intended environment. • To check if the system is “Fit for purpose”. • To check if the system does what it is expected to do. STAGES OF TESTING Various testing is done during various phases of the development cycle such as: Module or unit testing. Integration testing, Function testing. Performance testing. Acceptance testing. Installation testing. UNIT TESTING Unit testing is the testing and validation at the unit level. Unit testing validates and tests the following: Algorithms and logic Data structures (global and local) Interfaces Independent paths Boundary conditions Error handling Formal verification. Testing the program itself by performing black box and white box testing. INTEGRATION TESTING One module can have an adverse effect on another. Sub-functions, when combined, may not produce the desired major function. Individually acceptable imprecision in calculations may be magnified to unacceptable levels. Interfacing errors not detected in unit testing may appear in this phase. Timing problems (in real-time systems) and resource contention problems are not detectable by unit testing. Top-Down Integration The main control module is used as a driver, and stubs are substituted for all modules directly subordinate to the main module. Depending on the integration approach selected (depth or breadth first), subordinate stubs are replaced by modules one at a time. -
C/C++ Thread Safety Analysis
C/C++ Thread Safety Analysis DeLesley Hutchins Aaron Ballman Dean Sutherland Google Inc. CERT/SEI Email: [email protected] Email: [email protected] Email: [email protected] Abstract—Writing multithreaded programs is hard. Static including MacOS, Linux, and Windows. The analysis is analysis tools can help developers by allowing threading policies currently implemented as a compiler warning. It has been to be formally specified and mechanically checked. They essen- deployed on a large scale at Google; all C++ code at Google is tially provide a static type system for threads, and can detect potential race conditions and deadlocks. now compiled with thread safety analysis enabled by default. This paper describes Clang Thread Safety Analysis, a tool II. OVERVIEW OF THE ANALYSIS which uses annotations to declare and enforce thread safety policies in C and C++ programs. Clang is a production-quality Thread safety analysis works very much like a type system C++ compiler which is available on most platforms, and the for multithreaded programs. It is based on theoretical work analysis can be enabled for any build with a simple warning on race-free type systems [3]. In addition to declaring the flag: −Wthread−safety. The analysis is deployed on a large scale at Google, where type of data ( int , float , etc.), the programmer may optionally it has provided sufficient value in practice to drive widespread declare how access to that data is controlled in a multithreaded voluntary adoption. Contrary to popular belief, the need for environment. annotations has not been a liability, and even confers some Clang thread safety analysis uses annotations to declare benefits with respect to software evolution and maintenance. -
Programming Clojure Second Edition
Extracted from: Programming Clojure Second Edition This PDF file contains pages extracted from Programming Clojure, published by the Pragmatic Bookshelf. For more information or to purchase a paperback or PDF copy, please visit http://www.pragprog.com. Note: This extract contains some colored text (particularly in code listing). This is available only in online versions of the books. The printed versions are black and white. Pagination might vary between the online and printer versions; the content is otherwise identical. Copyright © 2010 The Pragmatic Programmers, LLC. All rights reserved. No part of this publication may be reproduced, stored in a retrieval system, or transmitted, in any form, or by any means, electronic, mechanical, photocopying, recording, or otherwise, without the prior consent of the publisher. The Pragmatic Bookshelf Dallas, Texas • Raleigh, North Carolina Many of the designations used by manufacturers and sellers to distinguish their products are claimed as trademarks. Where those designations appear in this book, and The Pragmatic Programmers, LLC was aware of a trademark claim, the designations have been printed in initial capital letters or in all capitals. The Pragmatic Starter Kit, The Pragmatic Programmer, Pragmatic Programming, Pragmatic Bookshelf, PragProg and the linking g device are trade- marks of The Pragmatic Programmers, LLC. Every precaution was taken in the preparation of this book. However, the publisher assumes no responsibility for errors or omissions, or for damages that may result from the use of information (including program listings) contained herein. Our Pragmatic courses, workshops, and other products can help you and your team create better software and have more fun. -
Efficient Scalable Thread-Safety-Violation Detection Finding Thousands of Concurrency Bugs During Testing
Efficient Scalable Thread-Safety-Violation Detection Finding thousands of concurrency bugs during testing Guangpu Li Shan Lu Madanlal Musuvathi University of Chicago University of Chicago Microsoft Research Suman Nath Rohan Padhye Microsoft Research University of California, Berkeley Abstract Keywords thread-safety violation; concurrency bugs; Concurrency bugs are hard to find, reproduce, and debug. debugging; reliability; scalability They often escape rigorous in-house testing, but result in ACM Reference Format: large-scale outages in production. Existing concurrency- Guangpu Li, Shan Lu, Madanlal Musuvathi, Suman Nath, bug detection techniques unfortunately cannot be part and Rohan Padhye. 2019. Efficient Scalable Thread-Safety- of industry’s integrated build and test environment due Violation Detection: Finding thousands of concurrency bugs to some open challenges: how to handle code developed during testing. In ACM SIGOPS 27th Symposium on Oper- by thousands of engineering teams that uses a wide ating Systems Principles (SOSP ’19), October 27–30, 2019, variety of synchronization mechanisms, how to report lit- Huntsville, ON, Canada. ACM, New York, NY, USA, 19 pages. https://doi.org/10.1145/3341301.3359638 tle/no false positives, and how to avoid excessive testing resource consumption. This paper presents TSVD, a thread-safety violation detector that addresses these challenges through a new design point in the domain of active testing. Unlike pre- 1 Introduction vious techniques that inject delays randomly or employ Concurrency bugs are hard to find, reproduce, and debug. expensive synchronization analysis, TSVD uses light- Race conditions can hide in rare thread interleavings weight monitoring of the calling behaviors of thread- that do not occur during testing but nevertheless show unsafe methods, not any synchronization operations, to up in production. -
A Comparison of Concurrency in Rust and C
A Comparison of Concurrency in Rust and C Josh Pfosi Riley Wood Henry Zhou [email protected] [email protected] [email protected] Abstract tion. One rule that Rust enforces is the concept of ownership As computer architects are unable to scale clock frequency due to a to ensure memory safety. When a variable binding is assigned, power wall, parallel architectures have begun to proliferate. With this such as let x = y, the ownership of the data referenced by shift, programmers will need to write increasingly concurrent applica- y is transferred to x. Any subsequent usages of y are invalid. tions to maintain performance gains. Parallel programming is difficult In this way, Rust enforces a one-to-one binding between sym- for programmers and so Rust, a systems programming language, has bols and data. Ownership is also transferred when passing data been developed to statically guarantee memory- and thread-safety and to functions. Data can be borrowed, meaning it is not deallo- catch common concurrency errors. This work draws comparisons be- cated when its binding goes out of scope, but the programmer tween the performance of concurrency features and idioms in Rust, and must make this explicit. Data can be borrowed as mutable or im- the low level and distinctly unsafe implementation of Pthreads in C. We mutable, also specified explicitly, and the compiler makes sure find that while Rust catches common concurrency errors and does not that permissions to borrowed data are not violated by the bor- demonstrate additional threading overhead, it generally executes slower rower.