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Devops and Testers White Paper
White Paper DevOps and Testers DevOps is part of an overall approach that organizations use to deliver software frequently and with high quality. The most obvious outcome of successful DevOps implementations is the reduction in the time it takes for software changes to transition from an idea to production. What Does DevOps Mean If you are an experienced DevOps Automated tools and processes practitioner, we hope that you are used in system configuration, for Testers might still find the article useful. If the build process, testing, the Background you are not a tester, we hope that deployment to test, staging and The DevOps movement (for want you will at least see the tester’s production environments, post- of a better label) is progressing perspective. deployment monitoring, evaluation, rapidly. Like many other and operations. movements in the industry, the What Is DevOps? speed of adoption accelerates Is DevOps Just About faster than the definition of the Simplistically, DevOps is a label movement itself. DevOps is still to describe an ecosystem in Tools? not well defined and the nuances which development teams and At one level, the goal of DevOps of culture, the emergent capability systems operations teams work is to eliminate bottlenecks in of new technologies, and range of more closely together. In the the delivery pipeline through (mostly successful) case studies so-called delivery pipeline, from automation. But the automation means that the issues at hand are committing source code to putting of staged processes still still widely debated.1 code into production, developers requires governance. Most accommodate and automate some automated processes are not Depending on who you talk to, of operations activities. -
Opportunities and Open Problems for Static and Dynamic Program Analysis Mark Harman∗, Peter O’Hearn∗ ∗Facebook London and University College London, UK
1 From Start-ups to Scale-ups: Opportunities and Open Problems for Static and Dynamic Program Analysis Mark Harman∗, Peter O’Hearn∗ ∗Facebook London and University College London, UK Abstract—This paper1 describes some of the challenges and research questions that target the most productive intersection opportunities when deploying static and dynamic analysis at we have yet witnessed: that between exciting, intellectually scale, drawing on the authors’ experience with the Infer and challenging science, and real-world deployment impact. Sapienz Technologies at Facebook, each of which started life as a research-led start-up that was subsequently deployed at scale, Many industrialists have perhaps tended to regard it unlikely impacting billions of people worldwide. that much academic work will prove relevant to their most The paper identifies open problems that have yet to receive pressing industrial concerns. On the other hand, it is not significant attention from the scientific community, yet which uncommon for academic and scientific researchers to believe have potential for profound real world impact, formulating these that most of the problems faced by industrialists are either as research questions that, we believe, are ripe for exploration and that would make excellent topics for research projects. boring, tedious or scientifically uninteresting. This sociological phenomenon has led to a great deal of miscommunication between the academic and industrial sectors. I. INTRODUCTION We hope that we can make a small contribution by focusing on the intersection of challenging and interesting scientific How do we transition research on static and dynamic problems with pressing industrial deployment needs. Our aim analysis techniques from the testing and verification research is to move the debate beyond relatively unhelpful observations communities to industrial practice? Many have asked this we have typically encountered in, for example, conference question, and others related to it. -
Building Useful Program Analysis Tools Using an Extensible Java Compiler
Building Useful Program Analysis Tools Using an Extensible Java Compiler Edward Aftandilian, Raluca Sauciuc Siddharth Priya, Sundaresan Krishnan Google, Inc. Google, Inc. Mountain View, CA, USA Hyderabad, India feaftan, [email protected] fsiddharth, [email protected] Abstract—Large software companies need customized tools a specific task, but they fail for several reasons. First, ad- to manage their source code. These tools are often built in hoc program analysis tools are often brittle and break on an ad-hoc fashion, using brittle technologies such as regular uncommon-but-valid code patterns. Second, simple ad-hoc expressions and home-grown parsers. Changes in the language cause the tools to break. More importantly, these ad-hoc tools tools don’t provide sufficient information to perform many often do not support uncommon-but-valid code code patterns. non-trivial analyses, including refactorings. Type and symbol We report our experiences building source-code analysis information is especially useful, but amounts to writing a tools at Google on top of a third-party, open-source, extensible type-checker. Finally, more sophisticated program analysis compiler. We describe three tools in use on our Java codebase. tools are expensive to create and maintain, especially as the The first, Strict Java Dependencies, enforces our dependency target language evolves. policy in order to reduce JAR file sizes and testing load. The second, error-prone, adds new error checks to the compilation In this paper, we present our experience building special- process and automates repair of those errors at a whole- purpose tools on top of the the piece of software in our codebase scale. -
The Art, Science, and Engineering of Fuzzing: a Survey
1 The Art, Science, and Engineering of Fuzzing: A Survey Valentin J.M. Manes,` HyungSeok Han, Choongwoo Han, Sang Kil Cha, Manuel Egele, Edward J. Schwartz, and Maverick Woo Abstract—Among the many software vulnerability discovery techniques available today, fuzzing has remained highly popular due to its conceptual simplicity, its low barrier to deployment, and its vast amount of empirical evidence in discovering real-world software vulnerabilities. At a high level, fuzzing refers to a process of repeatedly running a program with generated inputs that may be syntactically or semantically malformed. While researchers and practitioners alike have invested a large and diverse effort towards improving fuzzing in recent years, this surge of work has also made it difficult to gain a comprehensive and coherent view of fuzzing. To help preserve and bring coherence to the vast literature of fuzzing, this paper presents a unified, general-purpose model of fuzzing together with a taxonomy of the current fuzzing literature. We methodically explore the design decisions at every stage of our model fuzzer by surveying the related literature and innovations in the art, science, and engineering that make modern-day fuzzers effective. Index Terms—software security, automated software testing, fuzzing. ✦ 1 INTRODUCTION Figure 1 on p. 5) and an increasing number of fuzzing Ever since its introduction in the early 1990s [152], fuzzing studies appear at major security conferences (e.g. [225], has remained one of the most widely-deployed techniques [52], [37], [176], [83], [239]). In addition, the blogosphere is to discover software security vulnerabilities. At a high level, filled with many success stories of fuzzing, some of which fuzzing refers to a process of repeatedly running a program also contain what we consider to be gems that warrant a with generated inputs that may be syntactically or seman- permanent place in the literature. -
Designing Software Architecture to Support Continuous Delivery and Devops: a Systematic Literature Review
Designing Software Architecture to Support Continuous Delivery and DevOps: A Systematic Literature Review Robin Bolscher and Maya Daneva University of Twente, Drienerlolaan 5, Enschede, The Netherlands [email protected], [email protected] Keywords: Software Architecture, Continuous Delivery, Continuous Integration, DevOps, Deployability, Systematic Literature Review, Micro-services. Abstract: This paper presents a systematic literature review of software architecture approaches that support the implementation of Continuous Delivery (CD) and DevOps. Its goal is to provide an understanding of the state- of-the-art on the topic, which is informative for both researchers and practitioners. We found 17 characteristics of a software architecture that are beneficial for CD and DevOps adoption and identified ten potential software architecture obstacles in adopting CD and DevOps in the case of an existing software system. Moreover, our review indicated that micro-services are a dominant architectural style in this context. Our literature review has some implications: for researchers, it provides a map of the recent research efforts on software architecture in the CD and DevOps domain. For practitioners, it describes a set of software architecture principles that possibly can guide the process of creating or adapting software systems to fit in the CD and DevOps context. 1 INTRODUCTION designing new software architectures tailored for CD and DevOps practices. The practice of releasing software early and often has For clarity, before elaborating on the subject of been increasingly more adopted by software this SLR, we present the definitions of the concepts organizations (Fox et al., 2014) in order to stay that we will address: Software architecture of a competitive in the software market. -
High Performance Computing Toolkit: Installation and Usage Guide | Appendix B
IBM Parallel Environment Developer Edition High Performance Computing Toolkit Version 2 Release 1 Installation and Usage Guide SC23-7287-00 IBM Parallel Environment Developer Edition High Performance Computing Toolkit Version 2 Release 1 Installation and Usage Guide SC23-7287-00 Note Before using this information and the product it supports, read the information in “Notices” on page 255. This edition applies to version 2, release 1, modification 0 of the IBM Parallel Environment Developer Edition High Performance Computing Toolkit (HPC Toolkit) (product number 5765-PD2) and to all subsequent releases and modifications until otherwise indicated in new editions. © Copyright IBM Corporation 2008, 2014. US Government Users Restricted Rights – Use, duplication or disclosure restricted by GSA ADP Schedule Contract with IBM Corp. Contents Figures ..............vii | Part 3. Using the IBM PE Developer | Edition graphical performance Tables ...............ix || analysis tools ...........21 About this information ........xi | Chapter 6. Using the hpctView Who should read this information .......xi Conventions and terminology used in this || application .............23 information ..............xi || Preparing an application for analysis ......24 Prerequisite and related information ......xii || Working with the application ........25 Parallel Tools Platform component .....xii || Opening the application executable ......25 How to send your comments ........xiii || Instrumenting the application ........28 || Running the instrumented application .....29 Summary of changes ........xv || Viewing performance data .........37 | Chapter 7. Using hardware Limitations and restrictions .....xvii || performance counter profiling.....41 || Preparing an application for profiling......41 Part 1. Introduction .........1 || Instrumenting the application ........41 || Running the instrumented application .....43 Chapter 1. Introduction to the IBM HPC || Viewing hardware performance counter data . 45 Toolkit ...............3 IBM PE Developer Edition components .....3 || Chapter 8. -
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. -
Continuous Testing for Devops Evolving Beyond Simple Automation
Technical Whitepaper 1 Continuous Testing for DevOps Evolving Beyond Simple Automation INTRODUCTION DevOps represents a cultural shift that stresses collaboration be- on acceleration. Moreover, adopting a bona fide Continuous Testing tween the business, developers, and IT professionals. Software test process (more than just automated tests running regularly) helps automation can enhance these connections and help organizations promote all of the core pillars of DevOps: Culture, Automation, Lean, achieve desired SDLC acceleration, but it’s important to recognize Metrics, and Sharing. that automation is just one piece of the DevOps puzzle. In this paper, we’ll explore why and how Continuous Testing’s real- Since testing is often one of the greatest constraints in the SDLC, time objective assessment of an application’s business risks is a optimizing quality processes to allow testing to begin earlier, as well critical component of DevOps. as shrink the amount of testing required, can have a marked impact DEVOPS PRINCIPLES There are several key pieces to understanding DevOps revolutions and they are often brought about by a compelling event at an organization, such as a shift to agile. As organizations start to move into an agile development methodology, they start to uncover other processes that can be accelerated, such as delivery by DevOps and testing by Continuous Testing. The acceleration that is set in motion via agile makes it necessary to accelerate the release schedule. In order to ensure a successful release, an organization must adopt continuous testing to make sure the conveyer belt does not break down. The modernization maturity model has these three distinct phases: AGILE Agile software development is a different way of thinking about approaching the challenge of development time. -
Program Directory for IBM Enterprise COBOL for Z/OS
IBM Program Directory for IBM Enterprise COBOL for z/OS V06.02.00 Program Number 5655-EC6 FMIDs HADB620, JADB621, JADB622, JADB62H for Use with z/OS Document Date: September 2017 GI13-4526-01 Note Before using this information and the product it supports, be sure to read the general information under 7.0, “Notices” on page 30. © Copyright International Business Machines Corporation 1991, 2017. US Government Users Restricted Rights – Use, duplication or disclosure restricted by GSA ADP Schedule Contract with IBM Corp. Contents 1.0 Introduction . 1 1.1 Enterprise COBOL Description ......................................... 1 1.2 Enterprise COBOL FMIDs ........................................... 4 2.0 Program Materials . 5 2.1 Basic Machine-Readable Material ....................................... 5 2.2 Optional Machine-Readable Material ..................................... 6 2.3 Program Publications . 6 2.3.1 Optional Program Publications ...................................... 7 2.4 Program Source Materials ........................................... 7 2.5 Publications Useful During Installation .................................... 7 3.0 Program Support . 8 3.1 Program Services . 8 3.2 Preventive Service Planning .......................................... 8 3.3 Statement of Support Procedures ....................................... 9 4.0 Program and Service Level Information ................................. 10 4.1 Program Level Information .......................................... 10 4.2 Service Level Information .......................................... -
Software Engineering Using Devops - a Silver Bullet?
UPTEC IT 19 002 Examensarbete 30 hp Januari 2019 Software Engineering using DevOps - a Silver Bullet? Mikaela Eriksson Institutionen för informationsteknologi Department of Information Technology Abstract Software Engineering using DevOps - a Silver Bullet? Mikaela Eriksson Teknisk- naturvetenskaplig fakultet UTH-enheten Today we have technology that help us scan millions of medical databases in a glimpse of an eye and self-driving cars that are outperforming humans at driving. Besöksadress: Technology is developing so fast that new updates in the technology world are Ångströmlaboratoriet Lägerhyddsvägen 1 commonplace to us and we are more often frustrated in case something is not up Hus 4, Plan 0 to speed. Technology is moving so quickly and in order for humans to keep up with the development needed in the tech business, different methodologies for how to Postadress: optimise the development process have been applied, some that work better than Box 536 751 21 Uppsala others. But just as fast as the technology changes, the methodologies used change with them. Recently a new term has entered the methodologies field. This Telefon: term is said to bring faster deployment, decreased failures and improved the 018 – 471 30 03 loyalties within the teams. The term in question, is called DevOps. Telefax: 018 – 471 30 00 This study is about uncovering the world of DevOps. This thesis is exploring the term in real teams in order to find out whether or not DevOps is the silver bullet it Hemsida: makes out to be. The study is based on ten interviews with people at different http://www.teknat.uu.se/student organisations, using DevOps, and will find out how these interviewees use and feel about DevOps. -
T-Fuzz: Fuzzing by Program Transformation
T-Fuzz: Fuzzing by Program Transformation Hui Peng1, Yan Shoshitaishvili2, Mathias Payer1 Purdue University1, Arizona State University2 A PRESENTATION BY MD SHAMIM HUSSAIN AND NAFIS NEEHAL CSCI 6450 - PRINCIPLES OF PROGRAM ANALYSIS 1 Outline • Brief forecast • Background • Key Contributions • T-Fuzz Design • T-Fuzz Limitations • Experimental Results • Concluding Remarks • References CSCI 6450 - PRINCIPLES OF PROGRAM ANALYSIS 2 Fuzzing • Randomly generates input to discover bugs in the target program • Highly effective for discovering vulnerabilities • Standard technique in software development to improve reliability and security • Roughly two types of fuzzers - generational and mutational • Generational fuzzers require strict format for generating input • Mutational fuzzers create input by randomly mutating or by random seeds CSCI 6450 - PRINCIPLES OF PROGRAM ANALYSIS 3 Challenges in Fuzzing • Shallow coverage • “Deep Bugs” are hard to find • Reason – fuzzers get stuck at complex sanity checks Shallow Code Path Fig 1: Fuzzing limitations CSCI 6450 - PRINCIPLES OF PROGRAM ANALYSIS 4 Existing Approaches and Limitations • Existing approaches that focus on input generation ◦ AFL (Feedback based) ◦ Driller (Concolic execution based) ◦ VUzzer (Taint analysis based) ◦ etc. • Limitations ◦ Heavyweight analysis (taint analysis, concolic execution) ◦ Not scalable (concolic execution) ◦ Gets stuck on complex sanity checks (e.g. checksum values) ◦ Slow progress for multiple sanity checks (feedback based) CSCI 6450 - PRINCIPLES OF PROGRAM ANALYSIS -
Software Development a Practical Approach!
Software Development A Practical Approach! Hans-Petter Halvorsen https://www.halvorsen.blog https://halvorsen.blog Software Development A Practical Approach! Hans-Petter Halvorsen Software Development A Practical Approach! Hans-Petter Halvorsen Copyright © 2020 ISBN: 978-82-691106-0-9 Publisher Identifier: 978-82-691106 https://halvorsen.blog ii Preface The main goal with this document: • To give you an overview of what software engineering is • To take you beyond programming to engineering software What is Software Development? It is a complex process to develop modern and professional software today. This document tries to give a brief overview of Software Development. This document tries to focus on a practical approach regarding Software Development. So why do we need System Engineering? Here are some key factors: • Understand Customer Requirements o What does the customer needs (because they may not know it!) o Transform Customer requirements into working software • Planning o How do we reach our goals? o Will we finish within deadline? o Resources o What can go wrong? • Implementation o What kind of platforms and architecture should be used? o Split your work into manageable pieces iii • Quality and Performance o Make sure the software fulfills the customers’ needs We will learn how to build good (i.e. high quality) software, which includes: • Requirements Specification • Technical Design • Good User Experience (UX) • Improved Code Quality and Implementation • Testing • System Documentation • User Documentation • etc. You will find additional resources on this web page: http://www.halvorsen.blog/documents/programming/software_engineering/ iv Information about the author: Hans-Petter Halvorsen The author currently works at the University of South-Eastern Norway.