Does Code Review Really Remove Coding Convention Violations?
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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). -
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. -
Devsecops in Reguated Industries Capgemini Template.Indd
DEVSECOPS IN REGULATED INDUSTRIES ACCELERATING SOFTWARE RELIABILITY & COMPLIANCE TABLE OF CONTENTS 03... Executive Summary 04... Introduction 07... Impediments to DevSecOps Adoption 10... Playbook for DevSecOps Adoption 19... Conclusion EXECUTIVE SUMMARY DevOps practices enable rapid product engineering delivery and operations, particularly by agile teams using lean practices. There is an evolution from DevOps to DevSecOps, which is at the intersection of development, operations, and security. Security cannot be added after product development is complete and security testing cannot be done as a once-per-release cycle activity. Shifting security Left implies integration of security at all stages of the Software Development Life Cycle (SDLC). Adoption of DevSecOps practices enables faster, more reliable and more secure software. While DevSecOps emerged from Internet and software companies, it can benefit other industries, including regulated and high security environments. This whitepaper covers how incorporating DevSecOps in regulated Industries can accelerate software delivery, reducing the time from code change to production deployment or release while reducing security risks. This whitepaper defines a playbook for DevSecOps goals, addresses challenges, and discusses evolving workflows in DevSecOps, including cloud, agile, application modernization and digital transformation. Bi-directional requirement traceability, document generation and security tests should be part of the CI/CD pipeline. Regulated industries can securely move away -
Write Your Own Rules and Enforce Them Continuously
Ultimate Architecture Enforcement Write Your Own Rules and Enforce Them Continuously SATURN May 2017 Paulo Merson Brazilian Federal Court of Accounts Agenda Architecture conformance Custom checks lab Sonarqube Custom checks at TCU Lessons learned 2 Exercise 0 – setup Open www.dontpad.com/saturn17 Follow the steps for “Exercise 0” Pre-requisites for all exercises: • JDK 1.7+ • Java IDE of your choice • maven 3 Consequences of lack of conformance Lower maintainability, mainly because of undesired dependencies • Code becomes brittle, hard to understand and change Possible negative effect • on reliability, portability, performance, interoperability, security, and other qualities • caused by deviation from design decisions that addressed these quality requirements 4 Factors that influence architecture conformance How effective the architecture documentation is Turnover among developers Haste to fix bugs or implement features Size of the system Distributed teams (outsourcing, offshoring) Accountability for violating design constraints 5 How to avoid code and architecture disparity? 1) Communicate the architecture to developers • Create multiple views • Structural diagrams + behavior diagrams • Capture rationale Not the focus of this tutorial 6 How to avoid code and architecture disparity? 2) Automate architecture conformance analysis • Often done with static analysis tools 7 Built-in checks and custom checks Static analysis tools come with many built-in checks • They are useful to spot bugs and improve your overall code quality • But they’re -
Open Source Tools for Measuring the Internal Quality of Java Software Products
Open source tools for measuring the Internal Quality of Java software products. Asurvey P. Tomas, M.J. Escalona , M. Mejias Department of Computer and Systems, ETS Ingenieria Informatica, University of Seville, Av. Reina Mercedes S/N, 41012 Seville,Spain abstract Keywords: Collecting metrics and indicators to assess objectively the different products resulting during the lifecycle Software product of a software project is a research area that encompasses many different aspects, apart from being highly Tools demanded by companies and software development teams. Open source Focusing on software products, one of the most used methods by development teams for measuring Internal Metrics Quality is the static analysis of the source code. This paper works in this line and presents a study of the state- Internal Quality of-the-art open source software tools that automate the collection of these metrics, particularly for Automation fi Static analysis developments in Java. These tools have been compared according to certain criteria de ned in this study. Source code Java Contents 1. Introduction.............................................................. 245 2. Relatedwork............................................................. 246 3. Planningandconductingthereview................................................... 246 3.1. Acharacterizationschema.................................................... 247 3.1.1. Metricsimplemented.................................................. 248 3.1.2. Functionalfeaturescovered.............................................. -
Adhering to Coding Standards and Finding Bugs in Code Automatically
Adhering to Coding Standards and Finding Bugs in Code Automatically Presenters: Muhammad Wasim Hammad Ali Butt Al-khawarzimi Institute of Computer Science Agenda Introduction Software Quality Assurance Code: The base for Quality Code: Writing it Code: Reviewing it How Review tools help? Selecting a Code Review Tools How they compare to each other? Conclusion Al-khawarizimi Institute of Computer Science Introduction Software Quality Quality Attributes • Maintainability • Flexibility • Testability • Portability • Reusability • Interoperability • Correctness • Reliability • Efficiency • Integrity • Usability Code: The Base for Quality Software Quality comes with a lot of benefits Al-khawarizimi Institute of Computer Science SQA and Benefits Development/Technical: Increase Readability Easy to locate problem area Performance Enhancements Compliance between Specs & Code Criteria for software acceptance Management: Better Progress visibility Better decision criteria Reduced Maintenance cost Al-khawarizimi Institute of Computer Science Code: The Base for Quality Better Coding Styles (Structured to OOP) Commenting of Code Coding Conventions Design Patterns Low Coupling High Cohesiveness Resource Management Remove Repetition of Code Al-khawarizimi Institute of Computer Science Code: Writing it Well Managed Code Well Written Code Standardized Code Defensive Coding An ideal programmer won’t leave any bugs for compiler or QA team. Al-khawarizimi Institute of Computer Science Code: Reviewing It Review Meetings Peer Review Benefits: Code Optimization Reduced Cost Programmer Improvement Static Code Analysis is used for Code Review. Al-khawarizimi Institute of Computer Science Code Review on a Typical Project http://smartbear.com/docs/articles/before-code-review.jpg Al-khawarizimi Institute of Computer Science Code Review on a Typical Project http://smartbear.com/docs/articles/after-code-review.jpg Al-khawarizimi Institute of Computer Science Code Review & Issues Human is error prone. -
Inf 212 Analysis of Prog. Langs Elements of Imperative Programming Style
INF 212 ANALYSIS OF PROG. LANGS ELEMENTS OF IMPERATIVE PROGRAMMING STYLE Instructors: Kaj Dreef Copyright © Instructors. Objectives Level up on things that you may already know… ! Machine model of imperative programs ! Structured vs. unstructured control flow ! Assignment ! Variables and names ! Lexical scope and blocks ! Expressions and statements …so to understand existing languages better Imperative Programming 3 Oldest and most popular paradigm ! Fortran, Algol, C, Java … Mirrors computer architecture ! In a von Neumann machine, memory holds instructions and data Control-flow statements ! Conditional and unconditional (GO TO) branches, loops Key operation: assignment ! Side effect: updating state (i.e., memory) of the machine Simplified Machine Model 4 Registers Code Data Stack Program counter Environment Heap pointer Memory Management 5 Registers, Code segment, Program counter ! Ignore registers (for our purposes) and details of instruction set Data segment ! Stack contains data related to block entry/exit ! Heap contains data of varying lifetime ! Environment pointer points to current stack position ■ Block entry: add new activation record to stack ■ Block exit: remove most recent activation record Control Flow 6 Control flow in imperative languages is most often designed to be sequential ! Instructions executed in order they are written ! Some also support concurrent execution (Java) But… Goto in C # include <stdio.h> int main(){ float num,average,sum; int i,n; printf("Maximum no. of inputs: "); scanf("%d",&n); for(i=1;i<=n;++i){ -
Jalopy User's Guide V. 1.9.4
Jalopy - User’s Guide v. 1.9.4 Jalopy - User’s Guide v. 1.9.4 Copyright © 2003-2010 TRIEMAX Software Contents Acknowledgments . vii Introduction . ix PART I Core . 1 CHAPTER 1 Installation . 3 1.1 System requirements . 3 1.2 Prerequisites . 3 1.3 Wizard Installation . 4 1.3.1 Welcome . 4 1.3.2 License Agreement . 5 1.3.3 Installation Features . 5 1.3.4 Online Help System (optional) . 8 1.3.5 Settings Import (optional) . 9 1.3.6 Configure plug-in Defaults . 10 1.3.7 Confirmation . 11 1.3.8 Installation . 12 1.3.9 Finish . 13 1.4 Silent Installation . 14 1.5 Manual Installation . 16 CHAPTER 2 Configuration . 17 2.1 Overview . 17 2.1.1 Preferences GUI . 18 2.1.2 Settings files . 29 2.2 Global . 29 2.2.1 General . 29 2.2.2 Misc . 32 2.2.3 Auto . 35 2.3 File Types . 36 2.3.1 File types . 36 2.3.2 File extensions . 37 2.4 Environment . 38 2.4.1 Custom variables . 38 2.4.2 System variables . 40 2.4.3 Local variables . 41 2.4.4 Usage . 42 2.4.5 Date/Time . 44 2.5 Exclusions . 44 2.5.1 Exclusion patterns . 45 2.6 Messages . 46 2.6.1 Categories . 47 2.6.2 Logging . 48 2.6.3 Misc . 49 2.7 Repository . 49 2.7.1 Searching the repository . 50 2.7.2 Displaying info about the repository . 50 2.7.3 Adding libraries to the repository . 50 2.7.4 Removing the repository . -
C Style and Coding Standards
-- -- -1- C Style and Coding Standards Glenn Skinner Suryakanta Shah Bill Shannon AT&T Information System Sun Microsystems ABSTRACT This document describes a set of coding standards and recommendations for programs written in the C language at AT&T and Sun Microsystems. The purpose of having these standards is to facilitate sharing of each other’s code, as well as to enable construction of tools (e.g., editors, formatters). Through the use of these tools, programmers will be helped in the development of their programs. This document is based on a similar document written by L.W. Cannon, R.A. Elliott, L.W. Kirchhoff, J.H. Miller, J.M. Milner, R.W. Mitze, E.P. Schan, N.O. Whittington at Bell Labs. -- -- -2- C Style and Coding Standards Glenn Skinner Suryakanta Shah Bill Shannon AT&T Information System Sun Microsystems 1. Introduction The scope of this document is the coding style used at AT&T and Sun in writing C programs. A common coding style makes it easier for several people to cooperate in the development of the same program. Using uniform coding style to develop systems will improve readability and facilitate maintenance. In addition, it will enable the construction of tools that incorporate knowledge of these standards to help programmers in the development of programs. For certain style issues, such as the number of spaces used for indentation and the format of variable declarations, no clear consensus exists. In these cases, we have documented the various styles that are most frequently used. We strongly recommend, however, that within a particular project, and certainly within a package or module, only one style be employed. -
Advanced Tcl E D
PART II I I . A d v a n c Advanced Tcl e d T c l Part II describes advanced programming techniques that support sophisticated applications. The Tcl interfaces remain simple, so you can quickly construct pow- erful applications. Chapter 10 describes eval, which lets you create Tcl programs on the fly. There are tricks with using eval correctly, and a few rules of thumb to make your life easier. Chapter 11 describes regular expressions. This is the most powerful string processing facility in Tcl. This chapter includes a cookbook of useful regular expressions. Chapter 12 describes the library and package facility used to organize your code into reusable modules. Chapter 13 describes introspection and debugging. Introspection provides information about the state of the Tcl interpreter. Chapter 14 describes namespaces that partition the global scope for vari- ables and procedures. Namespaces help you structure large Tcl applications. Chapter 15 describes the features that support Internationalization, includ- ing Unicode, other character set encodings, and message catalogs. Chapter 16 describes event-driven I/O programming. This lets you run pro- cess pipelines in the background. It is also very useful with network socket pro- gramming, which is the topic of Chapter 17. Chapter 18 describes TclHttpd, a Web server built entirely in Tcl. You can build applications on top of TclHttpd, or integrate the server into existing appli- cations to give them a web interface. TclHttpd also supports regular Web sites. Chapter 19 describes Safe-Tcl and using multiple Tcl interpreters. You can create multiple Tcl interpreters for your application. If an interpreter is safe, then you can grant it restricted functionality. -
Defining and Assessing Software Quality by Quality Models
Defining and Assessing Software Quality by Quality Models Klaus Lochmann Institut für Informatik der Technischen Universität München Defining and Assessing Software Quality by Quality Models Klaus Lochmann Vollständiger Abdruck der von der Fakultät für Informatik der Technischen Universität München zur Erlangung des akademischen Grades eines Doktors der Naturwissenschaften (Dr. rer. nat.) genehmigten Dissertation. Vorsitzender: Univ.-Prof. Bernd Brügge, Ph. D. Prüfer der Dissertation: 1. Univ.-Prof. Dr. Dr. h.c. Manfred Broy 2. o. Univ.-Prof. Dr. Gustav Pomberger Johannes Kepler Universität Linz / Österreich Die Dissertation wurde am 31.07.2013 bei der Technischen Universität München eingereicht und durch die Fakultät für Informatik am 11.12.2013 angenommen. Abstract Software quality plays an important role for companies today, as it is in a direct relation to the costs arising in the lifecycle of software. However, the notion of quality is diverse. A software mainte- nance organization, for instance, defines high quality of software as enabling effective maintenance of it. For operators of computing centers, high quality means that the available computing and memory resources are efficiently used. An end user experiences software as high quality when it supports his tasks in an effective and efficient manner and thus reduces effort for him. In software engineering research, a lot of work has already been dedicated to the topic of software quality and quality assurance. However, we claim that there is no generally accepted definition of quality. The quality models providing taxonomical definitions face several problems, such as being ambiguous, overlapping, and incomplete. This prevents the quality models from supporting the definition of useful quality requirements.