Why Don't Software Developers Use Static Analysis Tools to Find Bugs?
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Analysing Aliasing in Java Applications
IT 20 048 Examensarbete 15 hp Augusti 2020 Analysing Aliasing in Java Applications Björn Berggren Institutionen för informationsteknologi Department of Information Technology Abstract Analysing Aliasing in Java Applications Björn Berggren Teknisk- naturvetenskaplig fakultet UTH-enheten Aliasing refers to the possibility of having multiple references to the same memory location and is a cornerstone concept in the imperative programming paradigm. As Besöksadress: applications grow large, it is hard for programmers to keep track of all places in the Ångströmlaboratoriet Lägerhyddsvägen 1 code where they employ aliasing, possibly resulting in hard-to-predict runtime errors. Hus 4, Plan 0 I present a tool, model and query language to perform dynamic aliasing analysis on Java programs. The tool uses the model to simulate the full execution of a program, Postadress: including how and when objects and references between them are created and Box 536 751 21 Uppsala removed. The query language consists of constructs that can be nested to form logical expressions, operating on the model to check whether a certain object remains in a Telefon: certain condition throughout the execution. The language is designed to monitor 018 – 471 30 03 lifetimes of specific objects and collect information about the execution as a whole. I Telefax: performed an experiment using the tool, examining traces from programs for 018 – 471 30 00 profiling, searching and parsing, showing that applications have different aliasing behaviour. All programs mostly use objects based on built-in Java classes, indicating Hemsida: that programmers could benefit from gaining the ability to control and limit how such http://www.teknat.uu.se/student objects can be aliased. -
UNIX and Computer Science Spreading UNIX Around the World: by Ronda Hauben an Interview with John Lions
Winter/Spring 1994 Celebrating 25 Years of UNIX Volume 6 No 1 "I believe all significant software movements start at the grassroots level. UNIX, after all, was not developed by the President of AT&T." Kouichi Kishida, UNIX Review, Feb., 1987 UNIX and Computer Science Spreading UNIX Around the World: by Ronda Hauben An Interview with John Lions [Editor's Note: This year, 1994, is the 25th anniversary of the [Editor's Note: Looking through some magazines in a local invention of UNIX in 1969 at Bell Labs. The following is university library, I came upon back issues of UNIX Review from a "Work In Progress" introduced at the USENIX from the mid 1980's. In these issues were articles by or inter- Summer 1993 Conference in Cincinnati, Ohio. This article is views with several of the pioneers who developed UNIX. As intended as a contribution to a discussion about the sig- part of my research for a paper about the history and devel- nificance of the UNIX breakthrough and the lessons to be opment of the early days of UNIX, I felt it would be helpful learned from it for making the next step forward.] to be able to ask some of these pioneers additional questions The Multics collaboration (1964-1968) had been created to based on the events and developments described in the UNIX "show that general-purpose, multiuser, timesharing systems Review Interviews. were viable." Based on the results of research gained at MIT Following is an interview conducted via E-mail with John using the MIT Compatible Time-Sharing System (CTSS), Lions, who wrote A Commentary on the UNIX Operating AT&T and GE agreed to work with MIT to build a "new System describing Version 6 UNIX to accompany the "UNIX hardware, a new operating system, a new file system, and a Operating System Source Code Level 6" for the students in new user interface." Though the project proceeded slowly his operating systems class at the University of New South and it took years to develop Multics, Doug Comer, a Profes- Wales in Australia. -
Single-Window Integrated Development Environment
Московский государственный университет имени М.В. Ломоносова Факультет вычислительной математики и кибернетики Кафедра автоматизации систем вычислительных комплексов Лаборатория вычислительных комплексов Курсовая работа на тему: «Однооконный интерфейс среды разработки программ» Студент 422 группы Ручкин И.Д. Научный руководитель Прус В.В. Москва 2010 Аннотация В данной работе описывается подход к решению проблем сложности графического интерфейса пользователя для интегрированных сред разработки программ, заключающийся в создании однооконного интерфейса. Этот подход предполагает удаление инструментальных окон – дополнительных окон среды разработки – и перенесение их функциональности в окно текстового редактора. Создание однооконного интерфейса включает обзор существующих интегрированных сред разработки программ, построение проекта однооконного интерфейса и частичную реализацию построенного проекта. Обзор сред разработки описывает организацию инструментальных окон и сами инструментальные окна популярных сред разработки программ. Результатом обзора является модель инструментальных окон, описывающая классы инструментальных окон, обобщенные инструментальные окна и их функциональность. За счет этой модели дальнейшие рассуждения абстрагируются от конкретных сред разработки программ. Далее в рамках полученной модели инструментальных окон создается проект однооконного интерфейса. Для этого рассматривается каждое обобщенное инструментальное окно и предлагается способ замены его функциональности. Предложенный проект однооконного интерфейса частично -
Automatic Detection of Bad Smells in Code: an Experimental Assessment
Journal of Object Technology Published by AITO — Association Internationale pour les Technologies Objets, c JOT 2011 Online at http://www.jot.fm. Automatic detection of bad smells in code: An experimental assessment Francesca Arcelli Fontanaa Pietro Braionea Marco Zanonia a. DISCo, University of Milano-Bicocca, Italy Abstract Code smells are structural characteristics of software that may indicate a code or design problem that makes software hard to evolve and maintain, and may trigger refactoring of code. Recent research is active in defining automatic detection tools to help humans in finding smells when code size becomes unmanageable for manual review. Since the definitions of code smells are informal and subjective, assessing how effective code smell detection tools are is both important and hard to achieve. This paper reviews the current panorama of the tools for automatic code smell detection. It defines research questions about the consistency of their responses, their ability to expose the regions of code most affected by structural decay, and the relevance of their responses with respect to future software evolution. It gives answers to them by analyzing the output of four representative code smell detectors applied to six different versions of GanttProject, an open source system written in Java. The results of these experiments cast light on what current code smell detection tools are able to do and what the relevant areas for further improvement are. Keywords code smells; code smell detection tools; refactoring; software quality evaluation. 1 Introduction Nowadays there is an increasing number of software analysis tools available for detecting bad programming practices, highlighting anomalies, and in general increasing the awareness of the software engineer about the structural features of the program under development. -
Preliminary Report on Empirical Study of Repeated Fragments in Internal Documentation
Proceedings of the Federated Conference on Computer Science DOI: 10.15439/2016F524 and Information Systems pp. 1573–1576 ACSIS, Vol. 8. ISSN 2300-5963 Preliminary Report on Empirical Study of Repeated Fragments in Internal Documentation Milan Nosál’, Jaroslav Porubän Department of Computers and Informatics, Faculty of Electrical Engineering and Informatics, Technical University of Košice Letná 9, 042 00, Košice, Slovakia Email: [email protected], [email protected] Abstract—In this paper we present preliminary results of an safe and therefore the programmer has to pay extra caution empirical study, in which we used copy/paste detection (PMD when using it in multithreaded systems (she has to use Event CPD implementation) to search for repeating documentation Dispatch Thread to safely work with the Swing components). fragments. The study was performed on 5 open source projects, including Java 8 SDK sources. The study shows that there are Swing JavaDoc documents it and for each affected class many occurrences of copy-pasting documentation fragments in includes a warning (see JPanel documentation in Figure 1). the internal documentation, e.g., copy-pasted method parameter description. Besides these, many of the copy-pasted fragments express some domain or design concern, e.g., that the method is obsolete and deprecated. Therefore the study indicates that the cross-cutting concerns are present in the internal documentation in form of documentation phrases. I. INTRODUCTION RESERVING and comprehending developer’s concerns P (intents) in the source code is still a current challenge in software development [1], [2], [3], [4]. In this paper we analyze the internal documentation (source code comments, JavaDoc, etc.) to recognize repeating documentation fragments that document those concerns (or features [5]). -
IBM Developer for Z/OS Enterprise Edition
Solution Brief IBM Developer for z/OS Enterprise Edition A comprehensive, robust toolset for developing z/OS applications using DevOps software delivery practices Companies must be agile to respond to market demands. The digital transformation is a continuous process, embracing hybrid cloud and the Application Program Interface (API) economy. To capitalize on opportunities, businesses must modernize existing applications and build new cloud native applications without disrupting services. This transformation is led by software delivery teams employing DevOps practices that include continuous integration and continuous delivery to a shared pipeline. For z/OS Developers, this transformation starts with modern tools that empower them to deliver more, faster, with better quality and agility. IBM Developer for z/OS Enterprise Edition is a modern, robust solution that offers the program analysis, edit, user build, debug, and test capabilities z/OS developers need, plus easy integration with the shared pipeline. The challenge IBM z/OS application development and software delivery teams have unique challenges with applications, tools, and skills. Adoption of agile practices Application modernization “DevOps and agile • Mainframe applications • Applications require development on the platform require frequent updates access to digital services have jumped from the early adopter stage in 2016 to • Development teams must with controlled APIs becoming common among adopt DevOps practices to • The journey to cloud mainframe businesses”1 improve their -
Java Programming Standards & Reference Guide
Java Programming Standards & Reference Guide Version 3.2 Office of Information & Technology Department of Veterans Affairs Java Programming Standards & Reference Guide, Version 3.2 REVISION HISTORY DATE VER. DESCRIPTION AUTHOR CONTRIBUTORS 10-26-15 3.2 Added Logging Sid Everhart JSC Standards , updated Vic Pezzolla checkstyle installation instructions and package name rules. 11-14-14 3.1 Added ground rules for Vic Pezzolla JSC enforcement 9-26-14 3.0 Document is continually Raymond JSC and several being edited for Steele OI&T noteworthy technical accuracy and / PD Subject Matter compliance to JSC Experts (SMEs) standards. 12-1-09 2.0 Document Updated Michael Huneycutt Sr 4-7-05 1.2 Document Updated Sachin Mai L Vo Sharma Lyn D Teague Rajesh Somannair Katherine Stark Niharika Goyal Ron Ruzbacki 3-4-05 1.0 Document Created Sachin Sharma i Java Programming Standards & Reference Guide, Version 3.2 ABSTRACT The VA Java Development Community has been establishing standards, capturing industry best practices, and applying the insight of experienced (and seasoned) VA developers to develop this “Java Programming Standards & Reference Guide”. The Java Standards Committee (JSC) team is encouraging the use of CheckStyle (in the Eclipse IDE environment) to quickly scan Java code, to locate Java programming standard errors, find inconsistencies, and generally help build program conformance. The benefits of writing quality Java code infused with consistent coding and documentation standards is critical to the efforts of the Department of Veterans Affairs (VA). This document stands for the quality, readability, consistency and maintainability of code development and it applies to all VA Java programmers (including contractors). -
To Type Or Not to Type: Quantifying Detectable Bugs in Javascript
To Type or Not to Type: Quantifying Detectable Bugs in JavaScript Zheng Gao Christian Bird Earl T. Barr University College London Microsoft Research University College London London, UK Redmond, USA London, UK [email protected] [email protected] [email protected] Abstract—JavaScript is growing explosively and is now used in to invest in static type systems for JavaScript: first Google large mature projects even outside the web domain. JavaScript is released Closure1, then Microsoft published TypeScript2, and also a dynamically typed language for which static type systems, most recently Facebook announced Flow3. What impact do notably Facebook’s Flow and Microsoft’s TypeScript, have been written. What benefits do these static type systems provide? these static type systems have on code quality? More concretely, Leveraging JavaScript project histories, we select a fixed bug how many bugs could they have reported to developers? and check out the code just prior to the fix. We manually add The fact that long-running JavaScript projects have extensive type annotations to the buggy code and test whether Flow and version histories, coupled with the existence of static type TypeScript report an error on the buggy code, thereby possibly systems that support gradual typing and can be applied to prompting a developer to fix the bug before its public release. We then report the proportion of bugs on which these type systems JavaScript programs with few modifications, enables us to reported an error. under-approximately quantify the beneficial impact of static Evaluating static type systems against public bugs, which type systems on code quality. -
Command Line Interface
Command Line Interface Squore 21.0.2 Last updated 2021-08-19 Table of Contents Preface. 1 Foreword. 1 Licence. 1 Warranty . 1 Responsabilities . 2 Contacting Vector Informatik GmbH Product Support. 2 Getting the Latest Version of this Manual . 2 1. Introduction . 3 2. Installing Squore Agent . 4 Prerequisites . 4 Download . 4 Upgrade . 4 Uninstall . 5 3. Using Squore Agent . 6 Command Line Structure . 6 Command Line Reference . 6 Squore Agent Options. 6 Project Build Parameters . 7 Exit Codes. 13 4. Managing Credentials . 14 Saving Credentials . 14 Encrypting Credentials . 15 Migrating Old Credentials Format . 16 5. Advanced Configuration . 17 Defining Server Dependencies . 17 Adding config.xml File . 17 Using Java System Properties. 18 Setting up HTTPS . 18 Appendix A: Repository Connectors . 19 ClearCase . 19 CVS . 19 Folder Path . 20 Folder (use GNATHub). 21 Git. 21 Perforce . 23 PTC Integrity . 25 SVN . 26 Synergy. 28 TFS . 30 Zip Upload . 32 Using Multiple Nodes . 32 Appendix B: Data Providers . 34 AntiC . 34 Automotive Coverage Import . 34 Automotive Tag Import. 35 Axivion. 35 BullseyeCoverage Code Coverage Analyzer. 36 CANoe. 36 Cantata . 38 CheckStyle. .. -
Squore Acceptance Provides a Fast and High Return on Investment by Efficiently
Acceptance SQUORE Squoring Technologies delivers an innovative decision-making dashboard dedicated to managing outsourced software development projects. Acceptance represents a key phase of every software development project, whatever the process: Acquisition or Third Party Application Maintenance. Beyond functional suitability, Acceptance must consider all software product dimensions, from quality characteristics such as Reliability, Maintainability and Performance, to work products like source code, requirements and test cases. TREND As required by the CMMI®, Supplier Management INDICATOR implies an objective and impartial assessment of these components, based on quantified measurement criteria adapted to the context and objectives of each project. Squore Acceptance provides a fast and high return on investment by efficiently: Contractualizing non- Increasing confidence Securing deployment functional, technical between customer and and operation. requirements. supplier. Defining common and Demonstrating compliance Reducing acceptance shared acceptance of deliverables with costs and efforts. criteria. quality requirements. Visit www.squore-acceptance.com Innovative features dedicated to the management of outsourced software projects. “Out-of-the-box” standardized control points, metrics and rules using best industry standards, and still customizable to fit in-house practices. Predefined software product quality models based on international standards: ISO SQuaRE 25010, ISO/IEC 9126, ECSS Quality Handbook, SQUALE . Standardized evaluation process in accordance with ISO/IEC 14598 and ISO/IEC 15939 standards. Squore covers all software product quality characteristics under a standard breakdown Quantified acceptance criteria for every type of deliverable, from requirements to documentation, via source code and test cases. Comprehensive overview of software product compliance through Key Performance Indicators and trend analysis. Unrivaled in-depth analysis where at-risk components are immediately identified, down to the most elementary function or method. -
Using Findbugs in Anger
Making Static Analysis Part Of Your Build Process William Pugh Professor, Univ. of Maryland Visiting Scientist, Google Learn how to effectively use FindBugs on large software projects (100,000+ lines of code), and make effective use of the limited time you can schedule/afford for static analysis 2 Agenda FindBugs and static analysis Using FindBugs effectively Running FindBugs Scaling up FindBugs Historical Bug results 3 Static Analysis Analyzes your program without executing it Doesn’t depend on having good test cases • or even any test cases Doesn’t know what your software is supposed to do • Looks for violations of reasonable programming practices • Shouldn’t throw NPE • All statements should be reachable • Shouldn’t allow SQL injection Not a replacement for testing • Very good at finding problems on untested paths • But many defects can’t be found with static analysis 4 Common (Incorrect) Wisdom about Bugs and Static Analysis Programmers are smart Smart people don’t make dumb mistakes We have good techniques (e.g., unit testing, pair programming, code inspections) for finding bugs early I tried lint and it sucked: lots of warnings, few real issues So, bugs remaining in production code must be subtle, and finding them must require sophisticated static analysis techniques 5 Can You Find The Bug? if (listeners == null) listeners.remove(listener); JDK1.6.0, b105, sun.awt.x11.XMSelection • lines 243-244 6 Why Do Bugs Occur? Nobody is perfect Common types of errors: • Misunderstood language features, API methods • Typos (using wrong boolean -
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