Static Code Analysis: a Buyer’S Guide
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Version Control Systems, Build Automation and Continuous Integration Integration and Verification Techniques
Version Control Systems, Build Automation and Continuous Integration Integration and Verification Techniques Systematic methods and automation can highly enhance the teamwork on software projects. During this laboratory we will learn the basics of the following techniques: • Version control systems to support efficient teamwork. • Build automation to ensure stable and consistent builds. • Continuous Integration to provide automatic and systematic build, test execution and also deployments. 1 Version Control Systems Version control systems allow to keep all the historical versions of your software for easy tracking. Using version control also benefits team collaboration and improves the efficiency of the development team. In addition, it can be used as a central repository for the data, making build automation and continuous integration possible. There are historically two different approaches for managing the repositories: • Centralized model (CVS and Subversion/SVN): there is one server that contains “the repository” and everyone else checks code into and out of that repository. An important feature of these systems is that only the repository has the full history of all changes made. A checkout from this central repository will place a “working copy” on the user’s machine. This is a snapshot from a certain version of the project on his/her disk. • Distributed model (Git): In a distributed version control system, instead of a checkout, a user will clone a repository from a remote server. In return, he/she receives a full-fledged repository, not just a working copy. The user then has his/her own repository on the local machine – including all of the project’s history. -
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 -
Devnet Module 3
Module 3: Software Development and Design DEVASCv1 1 Module Objectives . Module Title: Software Development and Design . Module Objective: Use software development and design best practices. It will comprise of the following sections: Topic Title Topic Objective 3.1 Software Development Compare software development methodologies. 3.2 Software Design Patterns Describe the benefits of various software design patterns. 3.3 Version Control Systems Implement software version control using GIT. 3.4 Coding Basics Explain coding best practices. 3.5 Code Review and Testing Use Python Unit Test to evaluate code. 3.6 Understanding Data Formats Use Python to parse different messaging and data formats. DEVASCv1 2 3.1 Software Development DEVASCv1 3 Introduction . The software development process is also known as the software development life cycle (SDLC). SDLC is more than just coding and also includes gathering requirements, creating a proof of concept, testing, and fixing bugs. DEVASCv1 4 Software Development Life Cycle (SDLC) . SDLC is the process of developing software, starting from an idea and ending with delivery. This process consists of six phases. Each phase takes input from the results of the previous phase. SDLC is the process of developing software, starting from an idea and ending with delivery. This process consists of six phases. Each phase takes input from the results of the previous phase. Although the waterfall methods is still widely used today, it's gradually being superseded by more adaptive, flexible methods that produce better software, faster, with less pain. These methods are collectively known as “Agile development.” DEVASCv1 5 Requirements and Analysis Phase . The requirements and analysis phase involves the product owner and qualified team members exploring the stakeholders' current situation, needs and constraints, present infrastructure, and so on, and determining the problem to be solved by the software. -
Metrics for Gerrit Code Reviews
SPLST'15 Metrics for Gerrit code reviews Samuel Lehtonen and Timo Poranen University of Tampere, School of Information Sciences, Tampere, Finland [email protected],[email protected] Abstract. Code reviews are a widely accepted best practice in mod- ern software development. To enable easier and more agile code reviews, tools like Gerrit have been developed. Gerrit provides a framework for conducting reviews online, with no need for meetings or mailing lists. However, even with the help of tools like Gerrit, following and monitoring the review process becomes increasingly hard, when tens or even hun- dreds of code changes are uploaded daily. To make monitoring the review process easier, we propose a set of metrics to be used with Gerrit code review. The focus is on providing an insight to velocity and quality of code reviews, by measuring different review activities based on data, au- tomatically extracted from Gerrit. When automated, the measurements enable easy monitoring of code reviews, which help in establishing new best practices and improved review process. Keywords: Code quality; Code reviews; Gerrit; Metrics; 1 Introduction Code reviews are a widely used quality assurance practice in software engineer- ing, where developers read and assess each other's code before it is integrated into the codebase or deployed into production. Main motivations for reviews are to detect software defects and to improve code quality while sharing knowledge among developers. Reviews were originally introduced by Fagan [4] already in 1970's. The original, formal type of code inspections are still used in many com- panies, but has been often replaced with more modern types of reviews, where the review is not tied to place or time. -
Best Practices for the Use of Static Code Analysis Within a Real-World Secure Development Lifecycle
An NCC Group Publication Best Practices for the use of Static Code Analysis within a Real-World Secure Development Lifecycle Prepared by: Jeremy Boone © Copyright 2015 NCC Group Contents 1 Executive Summary ....................................................................................................................................... 3 2 Purpose and Motivation ................................................................................................................................. 3 3 Why SAST Often Fails ................................................................................................................................... 4 4 Methodology .................................................................................................................................................. 4 5 Integration with the Secure Development Lifecycle....................................................................................... 5 5.1 Training ................................................................................................................................................. 6 5.2 Requirements ....................................................................................................................................... 6 5.3 Design ................................................................................................................................................... 7 5.4 Implementation .................................................................................................................................... -
Devops Point of View an Enterprise Architecture Perspective
DevOps Point of View An Enterprise Architecture perspective Amsterdam, 2020 Management summary “It is not the strongest of the species that survive, nor the most intelligent, but the one most responsive to change.”1 Setting the scene Goal of this Point of View In the current world of IT and the development of This point of view aims to create awareness around the IT-related products or services, companies from transformation towards the DevOps way of working, to enterprise level to smaller sizes are starting to help gain understanding what DevOps is, why you need it use the DevOps processes and methods as a part and what is needed to implement DevOps. of their day-to-day organization process. The goal is to reduce the time involved in all the An Enterprise Architecture perspective software development phases, to achieve greater Even though it is DevOps from an Enterprise Architecture application stability and faster development service line perspective, this material has been gathered cycles. from our experiences with customers, combined with However not only on the technical side of the knowledge from subject matter experts and theory from organization is DevOps changing the playing within and outside Deloitte. field, also an organizational change that involves merging development and operations teams is Targeted audience required with an hint of cultural changes. And last but not least the skillset of all people It is specifically for the people within Deloitte that want to involved is changing. use this as an accelerator for conversations and proposals & to get in contact with the people who have performed these type of projects. -
Coverity Static Analysis
Coverity Static Analysis Quickly find and fix Overview critical security and Coverity® gives you the speed, ease of use, accuracy, industry standards compliance, and quality issues as you scalability that you need to develop high-quality, secure applications. Coverity identifies code critical software quality defects and security vulnerabilities in code as it’s written, early in the development process when it’s least costly and easiest to fix. Precise actionable remediation advice and context-specific eLearning help your developers understand how to fix their prioritized issues quickly, without having to become security experts. Coverity Benefits seamlessly integrates automated security testing into your CI/CD pipelines and supports your existing development tools and workflows. Choose where and how to do your • Get improved visibility into development: on-premises or in the cloud with the Polaris Software Integrity Platform™ security risk. Cross-product (SaaS), a highly scalable, cloud-based application security platform. Coverity supports 22 reporting provides a holistic, more languages and over 70 frameworks and templates. complete view of a project’s risk using best-in-class AppSec tools. Coverity includes Rapid Scan, a fast, lightweight static analysis engine optimized • Deployment flexibility. You for cloud-native applications and Infrastructure-as-Code (IaC). Rapid Scan runs decide which set of projects to do automatically, without additional configuration, with every Coverity scan and can also AppSec testing for: on-premises be run as part of full CI builds with conventional scan completion times. Rapid Scan can or in the cloud. also be deployed as a standalone scan engine in Code Sight™ or via the command line • Shift security testing left. -
Code Review Guide
CODE REVIEW GUIDE 2.0 RELEASE Project leaders: Larry Conklin and Gary Robinson Creative Commons (CC) Attribution Free Version at: https://www.owasp.org 1 F I 1 Forward - Eoin Keary Introduction How to use the Code Review Guide 7 8 10 2 Secure Code Review 11 Framework Specific Configuration: Jetty 16 2.1 Why does code have vulnerabilities? 12 Framework Specific Configuration: JBoss AS 17 2.2 What is secure code review? 13 Framework Specific Configuration: Oracle WebLogic 18 2.3 What is the difference between code review and secure code review? 13 Programmatic Configuration: JEE 18 2.4 Determining the scale of a secure source code review? 14 Microsoft IIS 20 2.5 We can’t hack ourselves secure 15 Framework Specific Configuration: Microsoft IIS 40 2.6 Coupling source code review and penetration testing 19 Programmatic Configuration: Microsoft IIS 43 2.7 Implicit advantages of code review to development practices 20 2.8 Technical aspects of secure code review 21 2.9 Code reviews and regulatory compliance 22 5 A1 3 Injection 51 Injection 52 Blind SQL Injection 53 Methodology 25 Parameterized SQL Queries 53 3.1 Factors to Consider when Developing a Code Review Process 25 Safe String Concatenation? 53 3.2 Integrating Code Reviews in the S-SDLC 26 Using Flexible Parameterized Statements 54 3.3 When to Code Review 27 PHP SQL Injection 55 3.4 Security Code Review for Agile and Waterfall Development 28 JAVA SQL Injection 56 3.5 A Risk Based Approach to Code Review 29 .NET Sql Injection 56 3.6 Code Review Preparation 31 Parameter collections 57 3.7 Code Review Discovery and Gathering the Information 32 3.8 Static Code Analysis 35 3.9 Application Threat Modeling 39 4.3.2. -
Security Automation Best Practices
SECURITY AUTOMATION BEST PRACTICES A Guide to Making Your Security Team Successful with Automation TABLE OF CONTENTS Introduction 3 What Is Security Automation? 3 Security Automation: A Tough Nut to Crack 4 Prepare Your Security Organization for Success 6 Make a Choice: Build or buy? 8 Add Automation When the Time Is Right 10 Know Which Tasks Are Ideal for Automation 12 Testing Automation’s Capabilities 14 Implementing Security Automation 15 About Rapid7 16 Appendix 17 | Rapid7.com Security Automation Best Practices - 2 INTRODUCTION The best security postures are those that are built on efficiency and time-to-response. While processes make it possible to get a job done faster, creating ones that solve practical problems and result in measurable efficiency gains can be a time-consuming task, and without the expertise required to create and build them, they simply don’t get done. This is where security automation comes in. WHAT IS SECURITY AUTOMATION? Security automation streamlines a series of repetitive, manual tasks into cohesive and automated workflows. By plugging a set of tasks into an automated system (such as those involved in phishing investigations), security processes become: • More efficient • Less prone to human error With increased efficiency, better and faster decisions can be made, which in turn can improve your organization’s entire security posture. Even better, with repetitive and manual tasks taken care of by automation, security personnel can instead focus on more strategic work, which boosts their job satisfaction and ensures you’re retaining good talent. | Rapid7.com Security Automation Best Practices - 3 SECURITY AUTOMATION: A TOUGH NUT TO CRACK Historically, security automation has been difficult to implement, which is why many companies have yet to take advantage of it. -
How to Get the Most out of Your Ci/Cd Workflow Using Automated Testing
WHITE PAPER HOW TO GET THE MOST OUT OF YOUR CI/CD WORKFLOW USING AUTOMATED TESTING This paper is aimed at Test and QA Executives as well as Project Managers who are considering adopting automated testing, but are unsure of how to get started. It highlights the benefits of automated testing, the recommended technical approach to take, and suggests tools that enable teams to successfully adopt automated testing as part of a healthy continuous integration and delivery process. It also examines which tests to automate and which to continue to do manually. TABLE OF CONTENTS 3 Executive Summary 10 Mobile Testing 3 Automated Testing as Part of the Broader 11 Which Tests to Continue Manually CI/CD Pipeline 11 Usability Tests 4 The Kubernetes Effect 12 One-off Tests 5 GitOps = Fully-automated CI/CD 12 Selecting the Right Test Automation Solution 5 Reality Check - The Majority of Testing is 12 The Crucial Decision - In-house, Open Still Manual Source, or Commercial 6 What is Test Automation? 13 Selenium - The Leading Test Automation Tool 7 Manual Testing vs Automated Testing - for Web Apps Weighing the Benefits 13 Appium - The Leading Test Automation Tool 7 Obstacles to Adopting Automated Testing for Mobile Apps 8 The Right Approach to Test Automation 14 Open Source Tools Require Expertise to Run In-House 9 Unit and Component Testing 14 The Ideal Solution Should Combine the Best of 9 Headless Testing Both Worlds - Selenium & Appium 9 API or Web Services Testing 15 Conclusion 9 UI Testing 15 About Sauce Labs 10 Regression Testing 15 Appendix 10 Functional Testing EXECUTIVE SUMMARY In today’s hyper-competitive cloud economy, it’s important to be first to market to gain a competitive edge. -
Nudge: Accelerating Overdue Pull Requests Towards Completion
Nudge: Accelerating Overdue Pull Requests Towards Completion CHANDRA MADDILA, Microsoft Research SAI SURYA UPADRASTA, Microsoft Research CHETAN BANSAL, Microsoft Research NACHIAPPAN NAGAPPAN, Microsoft Research GEORGIOS GOUSIOS, Delft University of Technology ARIE van DEURSEN, Delft University of Technology Pull requests are a key part of the collaborative software development and code review process today. However, pull requests can also slow down the software development process when the reviewer(s) or the author do not actively engage with the pull request. In this work, we design an end-to-end service, Nudge, for accelerating overdue pull requests towards completion by reminding the author or the reviewer(s) to engage with their overdue pull requests. First, we use models based on effort estimation and machine learning to predict the completion time for a given pull request. Second, we use activity detection to filter out pull requests that may be overdue, but for which sufficient action is taking place nonetheless. Lastly, we use actor identification to understand who the blocker of the pull request is and nudge the appropriate actor (author or reviewer(s)). We also conduct a correlation analysis to understand the statistical relationship between the pull request completion times and various pull request and developer related attributes. Nudge has been deployed on 147 repositories at Microsoft since 2019. We perform a large scale evaluation based on the implicit and explicit feedback we received from sending the Nudge notifications on 8,500 pull requests. We observe significant reduction in completion time, by over 60%, for pull requests which were nudged thus increasing the efficiency of the code review process and accelerating the pull request progression.