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A Framework and Tool Supports for Generating Test Inputs of Aspectj Programs
A Framework and Tool Supports for Generating Test Inputs of AspectJ Programs Tao Xie Jianjun Zhao Department of Computer Science Department of Computer Science & Engineering North Carolina State University Shanghai Jiao Tong University Raleigh, NC 27695 Shanghai 200240, China [email protected] [email protected] ABSTRACT 1. INTRODUCTION Aspect-oriented software development is gaining popularity with Aspect-oriented software development (AOSD) is a new tech- the wider adoption of languages such as AspectJ. To reduce the nique that improves separation of concerns in software develop- manual effort of testing aspects in AspectJ programs, we have de- ment [9, 18, 22, 30]. AOSD makes it possible to modularize cross- veloped a framework, called Aspectra, that automates generation of cutting concerns of a software system, thus making it easier to test inputs for testing aspectual behavior, i.e., the behavior imple- maintain and evolve. Research in AOSD has focused mostly on mented in pieces of advice or intertype methods defined in aspects. the activities of software system design, problem analysis, and lan- To test aspects, developers construct base classes into which the guage implementation. Although it is well known that testing is a aspects are woven to form woven classes. Our approach leverages labor-intensive process that can account for half the total cost of existing test-generation tools to generate test inputs for the woven software development [8], research on testing of AOSD, especially classes; these test inputs indirectly exercise the aspects. To enable automated testing, has received little attention. aspects to be exercised during test generation, Aspectra automati- Although several approaches have been proposed recently for cally synthesizes appropriate wrapper classes for woven classes. -
Parasoft Dottest REDUCE the RISK of .NET DEVELOPMENT
Parasoft dotTEST REDUCE THE RISK OF .NET DEVELOPMENT TRY IT https://software.parasoft.com/dottest Complement your existing Visual Studio tools with deep static INCREASE analysis and advanced PROGRAMMING EFFICIENCY: coverage. An automated, non-invasive solution that the related code, and distributed to his or her scans the application codebase to iden- IDE with direct links to the problematic code • Identify runtime bugs without tify issues before they become produc- and a description of how to fix it. executing your software tion problems, Parasoft dotTEST inte- grates into the Parasoft portfolio, helping When you send the results of dotTEST’s stat- • Automate unit and component you achieve compliance in safety-critical ic analysis, coverage, and test traceability testing for instant verification and industries. into Parasoft’s reporting and analytics plat- regression testing form (DTP), they integrate with results from Parasoft dotTEST automates a broad Parasoft Jtest and Parasoft C/C++test, allow- • Automate code analysis for range of software quality practices, in- ing you to test your entire codebase and mit- compliance cluding static code analysis, unit testing, igate risks. code review, and coverage analysis, en- abling organizations to reduce risks and boost efficiency. Tests can be run directly from Visual Stu- dio or as part of an automated process. To promote rapid remediation, each problem detected is prioritized based on configur- able severity assignments, automatical- ly assigned to the developer who wrote It snaps right into Visual Studio as though it were part of the product and it greatly reduces errors by enforcing all your favorite rules. We have stuck to the MS Guidelines and we had to do almost no work at all to have dotTEST automate our code analysis and generate the grunt work part of the unit tests so that we could focus our attention on real test-driven development. -
Parasoft Static Application Security Testing (SAST) for .Net - C/C++ - Java Platform
Parasoft Static Application Security Testing (SAST) for .Net - C/C++ - Java Platform Parasoft® dotTEST™ /Jtest (for Java) / C/C++test is an integrated Development Testing solution for automating a broad range of testing best practices proven to improve development team productivity and software quality. dotTEST / Java Test / C/C++ Test also seamlessly integrates with Parasoft SOAtest as an option, which enables end-to-end functional and load testing for complex distributed applications and transactions. Capabilities Overview STATIC ANALYSIS ● Broad support for languages and standards: Security | C/C++ | Java | .NET | FDA | Safety-critical ● Static analysis tool industry leader since 1994 ● Simple out-of-the-box integration into your SDLC ● Prevent and expose defects via multiple analysis techniques ● Find and fix issues rapidly, with minimal disruption ● Integrated with Parasoft's suite of development testing capabilities, including unit testing, code coverage analysis, and code review CODE COVERAGE ANALYSIS ● Track coverage during unit test execution and the data merge with coverage captured during functional and manual testing in Parasoft Development Testing Platform to measure true test coverage. ● Integrate with coverage data with static analysis violations, unit testing results, and other testing practices in Parasoft Development Testing Platform for a complete view of the risk associated with your application ● Achieve test traceability to understand the impact of change, focus testing activities based on risk, and meet compliance -
HALO: Post-Link Heap-Layout Optimisation
HALO: Post-Link Heap-Layout Optimisation Joe Savage Timothy M. Jones University of Cambridge, UK University of Cambridge, UK [email protected] [email protected] Abstract 1 Introduction Today, general-purpose memory allocators dominate the As the gap between memory and processor speeds continues landscape of dynamic memory management. While these so- to widen, efficient cache utilisation is more important than lutions can provide reasonably good behaviour across a wide ever. While compilers have long employed techniques like range of workloads, it is an unfortunate reality that their basic-block reordering, loop fission and tiling, and intelligent behaviour for any particular workload can be highly subop- register allocation to improve the cache behaviour of pro- timal. By catering primarily to average and worst-case usage grams, the layout of dynamically allocated memory remains patterns, these allocators deny programs the advantages of largely beyond the reach of static tools. domain-specific optimisations, and thus may inadvertently Today, when a C++ program calls new, or a C program place data in a manner that hinders performance, generating malloc, its request is satisfied by a general-purpose allocator unnecessary cache misses and load stalls. with no intimate knowledge of what the program does or To help alleviate these issues, we propose HALO: a post- how its data objects are used. Allocations are made through link profile-guided optimisation tool that can improve the fixed, lifeless interfaces, and fulfilled by -
Architectural Support for Scripting Languages
Architectural Support for Scripting Languages By Dibakar Gope A dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy (Electrical and Computer Engineering) at the UNIVERSITY OF WISCONSIN–MADISON 2017 Date of final oral examination: 6/7/2017 The dissertation is approved by the following members of the Final Oral Committee: Mikko H. Lipasti, Professor, Electrical and Computer Engineering Gurindar S. Sohi, Professor, Computer Sciences Parameswaran Ramanathan, Professor, Electrical and Computer Engineering Jing Li, Assistant Professor, Electrical and Computer Engineering Aws Albarghouthi, Assistant Professor, Computer Sciences © Copyright by Dibakar Gope 2017 All Rights Reserved i This thesis is dedicated to my parents, Monoranjan Gope and Sati Gope. ii acknowledgments First and foremost, I would like to thank my parents, Sri Monoranjan Gope, and Smt. Sati Gope for their unwavering support and encouragement throughout my doctoral studies which I believe to be the single most important contribution towards achieving my goal of receiving a Ph.D. Second, I would like to express my deepest gratitude to my advisor Prof. Mikko Lipasti for his mentorship and continuous support throughout the course of my graduate studies. I am extremely grateful to him for guiding me with such dedication and consideration and never failing to pay attention to any details of my work. His insights, encouragement, and overall optimism have been instrumental in organizing my otherwise vague ideas into some meaningful contributions in this thesis. This thesis would never have been accomplished without his technical and editorial advice. I find myself fortunate to have met and had the opportunity to work with such an all-around nice person in addition to being a great professor. -
Case Study Test the Untestable: Alaska Airlines Solves
CASE STUDY Testing the Untestable Alaska Airlines Solves the Test Environment Dilemma Case Study Testing the Untestable Alaska Airlines Solves the Test Environment Dilemma OVERVIEW Alaska Airlines is primarily a West Coast carrier that services the states of Alaska and Hawaii with mid-continent and destinations in Canada and Mexico. Alaska Airlines received J.D. Powers' “Highest in Customer Satisfaction Among Traditional Carriers” recognition for twelve years in a row even recently winning first in all but one of the seven categories. A large part of the credit belongs to their software testing team. Their industry-leading, proactive approach to disrupting the traditional software testing process ensures that testers can test faster, earlier, and more completely. Learn how Ryan Papineau and his team used advanced automation in concert with service virtualization to rigorously test their complex flight operations manager software. The result: operations that run smoothly— even if they encounter a snowstorm in July. RELIABLE & ON-DEMAND FALSE REPEATABLE TESTS AUTOMATED TEST CASES POSITIVES 100欥 500 ELIMINATED 2 Case Study Testing the Untestable Alaska Airlines Solves the Test Environment Dilemma THE CHALLENGES At Alaska Airlines, the flight operations manager software is ultimately responsible for transporting 46 million customers to 115 global destinations via approximately 440,000 flights per year, safely and efficiently. This software coordinates a highly complex set of inputs from systems around the organization to ensure flights are on time while evaluating and managing fuel, cargo, baggage, and passenger requirements. In addition to the previously mentioned requirements, the system considers many factors including weather, aircraft characteristics, market, and fuel costs. -
Parasoft Named an Omnichannel Functional Test Automation Leader
Parasoft Corp. Headquarters 101 E. Huntington Drive Monrovia, CA 91016 USA www.parasoft.com [email protected] Press Release Parasoft Named an Omnichannel Functional Test Automation Leader, Recognized by major analyst firm for Impressive Roadmap Parasoft shines in evaluation specifically around effective test maintenance, strong CI/CD and application lifecycle management (ALM) platform integration MONROVIA (USA) – July 30, 2018 – Parasoft, the global leader in automated software testing, today announced its position as a leader in The Forrester Wave™: Omnichannel Functional Test Automation Tools, Q3 2018, where it received the highest scores possible in the API Testing and Automation and Product Road Map criteria. The report notes Parasoft’s “impressive and concrete road map to increase test automation from design to execution, pushing autonomous testing.” Parasoft will be showcasing its technology and discussing the future of testing in an upcoming webinar, The Future of Test Automation: Next- Generation Technologies to Use Today on August 23rd. To register, click here. According to the report, conducted by Forrester’s Diego Lo Giudice, “Parasoft shined in our evaluation specifically around effective test maintenance, strong CI/CD and application lifecycle management (ALM) platform integration, as well as reporting through its analytics system PIE. Clients like the recent changes, and all reference customers reported achieving test automation of more than 50% in the past 12 months.” After examining past research, user need assessments, and vendor and expert interviews, Forrester evaluated 15 omnichannel functional test automation tool vendors across a comprehensive 26-criteria to help organizations working on enterprise, mobile, and web applications select the right tool. -
Evaluation of Open Source Operating Systems for Safety-Critical Applications Master’S Thesis in Embedded Electronic System Design
Evaluation of open source operating systems for safety-critical applications Master’s thesis in Embedded Electronic System Design Petter Sainio Berntsson Department of Computer Science and Engineering CHALMERS UNIVERSITY OF TECHNOLOGY UNIVERSITY OF GOTHENBURG Gothenburg, Sweden 2017 MASTER’S THESIS 2017 Evaluation of open source operating systems for Safety-critical applications Petter Sainio Berntsson Department of Computer Science and Engineering Chalmers University of Technology University of Gothenburg Gothenburg, Sweden 2017 Evaluation of open source operating systems for safety-critical applications Petter Sainio Berntsson © Petter Sainio Berntsson, 2017 Examiner: Per Larsson-Edefors Chalmers University of Technology Department of Computer Science and Engineering Academic supervisor: Jan Jonsson Chalmers University of Technology Department of Computer Science and Engineering Industrial supervisors: Lars Strandén RISE Research Institutes of Sweden Dependable Systems Fredrik Warg RISE Research Institutes of Sweden Dependable Systems Master’s Thesis 2017 Department of Computer Science and Engineering Chalmers University of Technology University of Gothenburg SE-412 96 Gothenburg Telephone +46(0) 31 772 1000 Abstract Today many embedded applications will have to handle multitasking with real-time time constraints and the solution for handling multitasking is to use a real-time operating system for scheduling and managing the real-time tasks. There are many different open source real-time operating systems available and the use of open source software for safety-critical applications is considered highly interesting by industries such as medical, aerospace and automotive as it enables a shorter time to market and lower development costs. If one would like to use open source software in a safety-critical context one would have to provide evidence that the software being used fulfills the requirement put forth by the industry specific standard for functional safety, such as the ISO 26262 standard for the automotive industry. -
Runtime Detection of C-Style Errors in UPC Code
Runtime Detection of C-Style Errors in UPC Code Peter Pirkelbauer Chunhua Liao Thomas Panas Lawrence Livermore National Lawrence Livermore National Microsoft Laboratory Laboratory Parallel Data Warehousing [email protected] [email protected] [email protected] Dan Quinlan Lawrence Livermore National Laboratory [email protected] Abstract Software frequently contains flaws, and the size and complexity Unified Parallel C (UPC) extends the C programming language of modern software makes the detection of such flaws difficult. Re- (ISO C 99) with explicit parallel programming support for the parti- ducing the number of software flaws is an effort that permeates tioned global address space (PGAS), which provides a global mem- all stages in software development. For example, adopting rigid ory space with localized partitions to each thread. Like its ancestor coding standards and restricting programming languages to a safe C, UPC is a low-level language that emphasizes code efficiency. subset can eliminate error-prone coding techniques. Static and dy- The absence of dynamic (and static) safety checks allows program- namic code analysis tools that operate on source or binary code mer oversights and software flaws that can be hard to spot. are also used to reduce software flaws. Static analysis tools uti- In this paper, we present an extension of a dynamic analysis lize source code (style) analysis or formal analysis techniques such tool, ROSE-Code Instrumentation and Runtime Monitor (ROSE- as dataflow analysis, abstract interpretation, and model checking. CIRM), for UPC to help programmers find C-style errors involving Static analysis tools do not influence the running programs but of- the global address space. -
Wind River® Vxworks® 7 Third Party License Notices
Wind River® VxWorks® 7 Third Party License Notices This document contains third party intellectual property (IP) notices for the BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY Wind River® VxWorks® 7 distribution. Certain licenses and license notices THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, may appear in other parts of the product distribution in accordance with the OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN license requirements. ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. Trademarks All company, product and service names used in this software are for ACPICA identification purposes only. Version: 20170303 Component(s): Runtime Wind River and VxWorks are registered trademarks of Wind River Systems. Description: Provides code to implement ACPI specification in VxWorks. UNIX is a registered trademark of The Open Group. IBM and Bluemix are registered trademarks of the IBM Corporation. NOTICES: All other third-party trademarks are the property of their respective owners. 1. Copyright Notice Some or all of this work - Copyright (c) 1999 - 2016, Intel Corp. All rights reserved. Third Party Notices 2. License 2.1. This is your license from Intel Corp. under its intellectual property rights. You may have additional license terms from the party that provided you this software, covering your right to use that party's intellectual property rights. 64-Bit Dynamic Linker Version: 2.2. Intel grants, free of charge, to any person ("Licensee") obtaining a copy Component(s): Runtime of the source code appearing in this file ("Covered Code") an irrevocable, Description: The dynamic linker is used to load shared libraries. -
Accelerate Software Innovation Through Continuous Quality
Accelerate Software Innovation Through Continuous Quality 1 Software quality is recognized as the #1 issue IT executives are trying to mitigate. Enterprise organizations strive to accelerate the delivery of a compelling user experience to their customers in order to drive revenue. Software quality is recognized as the #1 issue IT executives are trying to mitigate. QA teams know they have issues and are actively looking for solutions to save time, increase quality, improve security, and more. The most notable difficulties are in identifying the right areas to test, the availability of flexible and reliable test environments and test data, and the realization of benefits from automation. You may be facing many challenges with delivering software to meet the high expectations for quality, cost, and schedule driven by the business. An effective software testing strategy can address these issues. If you’re looking to improve your software quality while achieving your business goals, Parasoft can help. With over 30 years of making testing easier for our customers, we have the innovation you need and the experience you trust. Our extensive continuous quality suite spans every testing need and enables you to reach new heights. 3 QUALITY-FIRST APPROACH You can’t test quality into an application at the end of the software development life cycle (SDLC). You need to ensure that your software development process and practices put a priority on quality- driven development and integrate a comprehensive testing strategy to verify that the application’s functionality meets the requirements. Shift testing left to the start of your development process to bring quality to the forefront. -
Matrox Imaging Library (MIL) 10.0 MIL 10 Processing Pack 3 Release Notes (C) Copyright Matrox Electronic Systems Ltd., 1992-2018
------------------------------------------------------------------------------- Matrox Imaging Library (MIL) 10.0 MIL 10 Processing Pack 3 Release Notes (c) Copyright Matrox Electronic Systems Ltd., 1992-2018. ------------------------------------------------------------------------------- Main table of contents Section 1 : Differences between MIL 10 Processing Pack 3 and MIL 10 Processing Pack 2 with Update 63 Section 2 : Differences between MIL 10 Processing Pack 2 with Update 63 and MIL 10 Processing Pack 2 Section 3 : Differences between MIL 10 Processing Pack 2 and MIL 10 Processing Pack 1 Section 4 : Differences between MIL 10 Processing Pack 1 and MIL 10 Section 5 : Differences between MIL 10 and MIL 9 Processing Pack 2 with Update 56 Section 6 : Differences between MIL 9 Processing Pack 2 with Update 56 and MIL 9 Processing Pack 2 Section 7 : Differences between MIL 9 Processing Pack 2 with Update 45 and MIL 9 Processing Pack 2 Section 8 : Differences between MIL 9 Processing Pack 2 and MIL 9 Processing Pack 1 Section 9 : Differences between MIL 9 Processing Pack 1 and MIL 9 Section 10 : Differences between MIL 9 and MIL 8 Processing Pack 4 ------------------------------------------------------------------------------- ------------------------------------------------------------------------------- Section 1: Differences between MIL 10 Processing Pack 3 and MIL 10 Processing Pack 2 with with Update 63 Table of Contents for Section 1 1. Overview 2. New functionalities and improvements 2.01 MIL processing specific examples 2.02 Classification module 2.03 Blob module 2.04 Calibration module 2.05 SureDotOCR® module 2.06 Registration module 2.07 Pattern Matching module 2.08 Model Finder module 2.09 Metrology module 2.10 3dMap module 2.11 Code Reader module 2.12 Measurement module 2.13 String Reader module 2.14 Color module 2.15 Primitives 2.16 Graphics 2.17 General 3.