A practical approach for end-to-end test automation is discussed. The approach is based on model-based testing. The presentation discusses several industrial case studies of applying model-based testing to automatically generate innumerable number of ready-to-run, executable test cases.
This ppt covers the following
A strategic approach to testing
Test strategies for conventional software
Test strategies for object-oriented software
Validation testing
System testing
The art of debugging
** Test Automation Masters Program: https://www.edureka.co/masters-program/automation-testing-engineer-training **
This Edureka PPT on "What is Regression Testing?" will help you get in-depth knowledge on regression testing in software Testing and why it is important to incorporate regression testing while testing the software.
What is Regression Testing?
Benefits of Regression Testing
When to apply Regression Testing?
Regression Testing Types
How to implement Regression Testing?
Regression Testing Techniques
Demo: How to derive a regression testing plan?
Regression Testing Challenges
Regression Testing best practices
Selenium playlist: https://goo.gl/NmuzXE
Selenium Blog playlist: http://bit.ly/2B7C3QR
Software Testing Blog playlist: http://bit.ly/2UXwdJm
This Presentation shows That what is Agile methodology, its principles and key points and how it is different from other software development life cycle.
This ppt covers the following
A strategic approach to testing
Test strategies for conventional software
Test strategies for object-oriented software
Validation testing
System testing
The art of debugging
** Test Automation Masters Program: https://www.edureka.co/masters-program/automation-testing-engineer-training **
This Edureka PPT on "What is Regression Testing?" will help you get in-depth knowledge on regression testing in software Testing and why it is important to incorporate regression testing while testing the software.
What is Regression Testing?
Benefits of Regression Testing
When to apply Regression Testing?
Regression Testing Types
How to implement Regression Testing?
Regression Testing Techniques
Demo: How to derive a regression testing plan?
Regression Testing Challenges
Regression Testing best practices
Selenium playlist: https://goo.gl/NmuzXE
Selenium Blog playlist: http://bit.ly/2B7C3QR
Software Testing Blog playlist: http://bit.ly/2UXwdJm
This Presentation shows That what is Agile methodology, its principles and key points and how it is different from other software development life cycle.
Students are struggling in Software Testing so i have decided to make a presentation on Testing here is the general topic from testing. I hope it will help you in your learning about testing please rate it
software testing, Regression testing meaning,
requirement of regression testing,
techniques of regression testing:- hybrid, retest all, Test case prioritization, Regression test selection.
pros and cons of using regression testing,
tools for regression testing :-
Relational Functional Tester(RFT)
Quick Test Professional (QTP)
selenium
Slides from Software Testing Techniques course offered at Kansas State University in Spring'16 and Spring'17. Entire course material can be found at https://github.com/rvprasad/software-testing-course.
Testbytes is a community of software testers who are passionate about quality and love to test. We develop an in-depth understanding of the applications under test and include software testing strategies that deliver quantifiable results.
In short, we help in building incredible software.
A test automation framework defines an organization's way of doing things. It is a set of assumptions, concepts and tools that provide support for automated software testing.
Software development process models
Rapid Application Development (RAD) Model
Evolutionary Process Models
Spiral Model
THE FORMAL METHODS MODEL
Specialized Process Models
The Concurrent Development Model
Prototyping in der Softwareentwicklung (Folien zum Referat)Ulf Schröder
Im Rahmen des Referats „Prototyping in der Softwareentwicklung“ sollen in einem Überblick die Arten, Wirkungsweise sowie Konsequenzen von Prototypen in der Softwareentwicklung dargestellt werden.
Students are struggling in Software Testing so i have decided to make a presentation on Testing here is the general topic from testing. I hope it will help you in your learning about testing please rate it
software testing, Regression testing meaning,
requirement of regression testing,
techniques of regression testing:- hybrid, retest all, Test case prioritization, Regression test selection.
pros and cons of using regression testing,
tools for regression testing :-
Relational Functional Tester(RFT)
Quick Test Professional (QTP)
selenium
Slides from Software Testing Techniques course offered at Kansas State University in Spring'16 and Spring'17. Entire course material can be found at https://github.com/rvprasad/software-testing-course.
Testbytes is a community of software testers who are passionate about quality and love to test. We develop an in-depth understanding of the applications under test and include software testing strategies that deliver quantifiable results.
In short, we help in building incredible software.
A test automation framework defines an organization's way of doing things. It is a set of assumptions, concepts and tools that provide support for automated software testing.
Software development process models
Rapid Application Development (RAD) Model
Evolutionary Process Models
Spiral Model
THE FORMAL METHODS MODEL
Specialized Process Models
The Concurrent Development Model
Prototyping in der Softwareentwicklung (Folien zum Referat)Ulf Schröder
Im Rahmen des Referats „Prototyping in der Softwareentwicklung“ sollen in einem Überblick die Arten, Wirkungsweise sowie Konsequenzen von Prototypen in der Softwareentwicklung dargestellt werden.
Software Defect Trend Forecasting In Open Source Projects using A Univariate ...CSCJournals
Our objective in this research is to provide a framework that will allow project managers, business owners, and developers an effective way to forecast the trend in software defects within a software project in real-time. By providing these stakeholders with a mechanism for forecasting defects, they can then provide the necessary resources at the right time in order to remove these defects before they become too much ultimately leading to software failure. In our research, we will not only show general trends in several open-source projects but also show trends in daily, monthly, and yearly activity. Our research shows that we can use this forecasting method up to 6 months out with only an MSE of 0.019. In this paper, we present our technique and methodologies for developing the inputs for the proposed model and the results of testing on seven open source projects. Further, we discuss the prediction models, the performance, and the implementation using the FBProphet framework and the ARIMA model.
Mining Fix Patterns for FindBugs ViolationsDongsun Kim
Several static analysis tools, such as Splint or FindBugs, have been proposed to the software development community to help detect security vulnerabilities or bad programming practices. However, the adoption of these tools is hindered by their high false positive rates. If the false positive rate is too high, developers may get acclimated to violation reports from these tools, causing concrete and severe bugs being overlooked. Fortunately, some violations are actually addressed and resolved by developers. We claim that those violations that are recurrently fixed are likely to be true positives, and an automated approach can learn to repair similar unseen violations. However, there is lack of a systematic way to investigate the distributions on existing violations and fixed ones in the wild, that can provide insights into prioritizing violations for developers, and an effective way to mine code and fix patterns which can help developers easily understand the reasons of leading violations and how to fix them.
In this paper, we first collect and track a large number of fixed and unfixed violations across revisions of software. The empirical analyses reveal that there are discrepancies in the distributions of violations that are detected and those that are fixed, in terms of occurrences, spread and categories, which can provide insights into prioritizing violations. To automatically identify patterns in violations and their fixes, we propose an approach that utilizes convolutional neural networks to learn features and clustering to regroup similar instances. We then evaluate the usefulness of the identified fix patterns by applying them to unfixed violations. The results show that developers will accept and merge a majority (69/116) of fixes generated from the inferred fix patterns. It is also noteworthy that the yielded patterns are applicable to four real bugs in the Defects4J major benchmark for software testing and automated repair.
Abstract:
Though in essence an engineering discipline, software engineering research has always been struggling to demonstrate impact. This is reflected in part by the funding challenges that the discipline faces in many countries, the difficulties we have to attract industrial participants to our conferences, and the scarcity of papers reporting industrial case studies.
There are clear historical reasons for this but we nevertheless need, as a community, to question our research paradigms and peer evaluation processes in order to improve the situation. From a personal standpoint, relevance and impact are concerns that I have been struggling with for a long time, which eventually led me to leave a comfortable academic position and a research chair to work in industry-driven research.
I will use some concrete research project examples to argue why we need more inductive research, that is, research working from specific observations in real settings to broader generalizations and theories. Among other things, the examples will show how a more thorough understanding of practice and closer interactions with practitioners can profoundly influence the definition of research problems, and the development and evaluation of solutions to these problems. Furthermore, these examples will illustrate why, to a large extent, useful research is necessarily multidisciplinary. I will also address issues regarding the implementation of such a research paradigm and show how our own bias as a research community worsens the situation and undermines our very own interests.
On a more humorous note, the title hints at the fact that being a scientist in software engineering and aiming at having impact on practice often entails leading two parallel careers and impersonate different roles to different peers and partners.
Bio:
Lionel Briand is heading the Certus center on software verification and validation at Simula Research Laboratory, where he is leading research projects with industrial partners. He is also a professor at the University of Oslo (Norway). Before that, he was on the faculty of the department of Systems and Computer Engineering, Carleton University, Ottawa, Canada, where he was full professor and held the Canada Research Chair (Tier I) in Software Quality Engineering. He is the coeditor-in-chief of Empirical Software Engineering (Springer) and is a member of the editorial boards of Systems and Software Modeling (Springer) and Software Testing, Verification, and Reliability (Wiley). He was on the board of IEEE Transactions on Software Engineering from 2000 to 2004. Lionel was elevated to the grade of IEEE Fellow for his work on the testing of object-oriented systems. His research interests include: model-driven development, testing and verification, search-based software engineering, and empirical software engineering.
Annotated Bibliography
.
Guidelines: Annotated Bibliography
Purpose: Explore current literature (collection of writing on a specific topic) to increase
knowledge of leadership in nursing practice.
The annotated bibliography assignment will help students prepare to design and present a poster presentation regarding nursing leadership in practice. The focus is building student knowledge of various leadership roles in nursing (current trends). The assignment also promotes student reflection on development of their own leadership skills.
Students will read the summary of the Institute of Medicine (IOM) “The Future of Nursing: Leading Change, Advancing Health” for baseline identification of leadership roles (posted in Blackboard).
Students will then search the literature to identify and select five (5) nurse leaders, who will be the topic of the annotated bibliography summaries (students must use credible sources when searching literature).
Students may also choose to submit 2 of the 5 annotated bibliography summaries on the following topics:
1. Student Nurse Leaders (2)
2. Current Trends in Nursing Leadership (3)
Each of the five annotated bibliography summaries should be no more than one page, typed, and must include the following:
1. The identified leader’s specific roles & responsibilities
2. The identified leader’s accomplishments
3. Barriers and facilitators to leader achievement of goals
4. Knowledge gained from reading content included in the annotated bibliography summary
Annotated Bibliography Grading Rubric
Criteria
Points Possible
Points Earned
Faculty Comments
Provides a clear description of the identified leader’s role (s) and responsibilities (related to nursing)
20
Provides examples of the leader’s
accomplishments (at least 2 examples)
10
Summarizes barriers inhibiting the leader’s achievement of goals
15
Summarizes facilitators enhancing the leader’s achievement of goals
15
Summary of leadership knowledge gained from reading content included in the annotated bibliography summary
20
Correct grammar/spelling
10
APA format
10
Total
100
[Type text]
30 February 2005 QUEUE rants: [email protected] DARNEDTesting large systems is a daunting task, but there are steps we can take to ease the pain.
T
he increasing size and complexity of software, coupled with concurrency and dis-
tributed systems, has made apparent the ineffectiveness of using only handcrafted
tests. The misuse of code coverage and avoidance of random testing has exacer-
bated the problem. We must start again, beginning with good design (including
dependency analysis), good static checking (including model property checking), and
good unit testing (including good input selection). Code coverage can help select and
prioritize tests to make you more effi cient, as can the all-pairs technique for controlling
the number of confi gurations. Finally, testers can use models to generate test coverage
and good stochastic.
Similar to Automated Test Case Generation and Execution from Models (20)
We study the behavior of the RSA trapdoor function by repeatedly encrypting the ciphertext sent over the public channel. We discuss the problem of finding a cycle in order to reverse the plaintext from the given ciphertext. Simple demos and algorithms/python programs are also presented. While the attack is not necessarily practical, it is educational to learn how the RSA trapdoor function behaves.
We look into the nitty-gritty details of the RSA key generation algorithm. We study how RSA can be exploited when the public exponent e is not chosen carefully. We examine why many digital certificates use e=65537. We also experiment with Hastad's broadcast attack for short RSA exponents in particular.
We study the internal structure of the SRP key exchange protocol and experiment with it. SRP establishes a shared encryption key between communicating parties using passwords that were shared out-of-band. We perform basic cryptanalysis of SRP using open-source implementations. We present a demo of how SRP was compromised due to an implementation bug, allowing the attacker to login without the password. The author of the Go-SRP library promptly fixed the issue on the very same day we reported the vulnerability.
We allow Eve to modify DH parameters as well as public keys of Alice and Bob. This allows Eve to derive the secret key and break the DH crypto system. We demonstrate that the DH key exchange algorithm should not be used without digital signatures.
This was an invited talk at the Central Middle School, Maryland. Without going into a lot of math, I try to explain the fundamental key exchange problem. It was a blast. 8th graders enjoyed it as much as I enjoyed it.
Can we reveal the RSA private exponent d from its public key <e, n>? We study this question for two specific cases: e = 3 and e = 65537. Using demos, we verify that RSA reveals the most significant half of the private exponent d when the public exponent e is small. For example, for 2048-bit RSA, the most significant 1024 bits are revealed!
Computing the Square Roots of Unity to break RSA using Quantum AlgorithmsDharmalingam Ganesan
We study the problem of finding the square roots of unity in a finite group in order to factor composite numbers used in RSA. We implemented Peter Shor’s algorithm to find the square root of unity. Experimental results showed that finding the square roots of unity in a finite group multiplicative group is “hard”.
We experiment with Wiener's attack to break RSA when the secret exponent is short, meaning it is smaller than one quarter of the public modulus size. We discuss cryptanalysis details and present demos of the attack. Our very minor extension of Wiener's attack is also discussed.
If we have an RSA 2048 bits configuration, but our private exponent d is only about 512 bits, then the above attack breaks RSA in a few seconds.
This work uses Continued Fractions to derive the private keys from the given public keys. It turned out that one can derive the private exponent d by approximating it as a ratio of e/n, both are public values.
In a default settings of standard RSA libaries, this attack and my minor extension are not relevant (to the best of our knowledge). However, if we configure our library to choose a very large public encryption exponent e, then our private decryption exponent d could be short enough to mount an attack.
An RSA private key is made of a few private variables. We analyze how these private variables are chained together. Further, we study if one of the private variables is leaked, can we derive the other private variables? Demos of the algorithms are also provided.
The slides demonstrate how to reverse the plaintext from the RSA encrypted ciphertext using an oracle that answers the question: is the last bit of the message 0 or 1?
Slides present a demo of exploiting the homomorphic properties of raw RSA (i.e., without any padding) to reverse an RSA ciphertext, without the private key. We have two roles: Adversary and Challenger. The challenger presents a ciphertext to the adversary to break it. The adversary is allowed to ask for encryption/decryption of any text, except the decryption of the challenge ciphertext. The goal of the adversary is to break the ciphertext.
The slides demonstrate how to break RSA when used incorrectly without integrity checks. The man-in-the-middle is allowed to edit the RSA public exponent e in such a way that the Extended Euclidean Algorithm can be employed to reconstruct the plaintexts from the given ciphertexts.
Slides demonstrate how to break RSA when no padding is applied. I replicated the meet-in-the-middle attack discussed in the existing Crypto literature.
Maruthi Prithivirajan, Head of ASEAN & IN Solution Architecture, Neo4j
Get an inside look at the latest Neo4j innovations that enable relationship-driven intelligence at scale. Learn more about the newest cloud integrations and product enhancements that make Neo4j an essential choice for developers building apps with interconnected data and generative AI.
Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Enchancing adoption of Open Source Libraries. A case study on Albumentations.AIVladimir Iglovikov, Ph.D.
Presented by Vladimir Iglovikov:
- https://www.linkedin.com/in/iglovikov/
- https://x.com/viglovikov
- https://www.instagram.com/ternaus/
This presentation delves into the journey of Albumentations.ai, a highly successful open-source library for data augmentation.
Created out of a necessity for superior performance in Kaggle competitions, Albumentations has grown to become a widely used tool among data scientists and machine learning practitioners.
This case study covers various aspects, including:
People: The contributors and community that have supported Albumentations.
Metrics: The success indicators such as downloads, daily active users, GitHub stars, and financial contributions.
Challenges: The hurdles in monetizing open-source projects and measuring user engagement.
Development Practices: Best practices for creating, maintaining, and scaling open-source libraries, including code hygiene, CI/CD, and fast iteration.
Community Building: Strategies for making adoption easy, iterating quickly, and fostering a vibrant, engaged community.
Marketing: Both online and offline marketing tactics, focusing on real, impactful interactions and collaborations.
Mental Health: Maintaining balance and not feeling pressured by user demands.
Key insights include the importance of automation, making the adoption process seamless, and leveraging offline interactions for marketing. The presentation also emphasizes the need for continuous small improvements and building a friendly, inclusive community that contributes to the project's growth.
Vladimir Iglovikov brings his extensive experience as a Kaggle Grandmaster, ex-Staff ML Engineer at Lyft, sharing valuable lessons and practical advice for anyone looking to enhance the adoption of their open-source projects.
Explore more about Albumentations and join the community at:
GitHub: https://github.com/albumentations-team/albumentations
Website: https://albumentations.ai/
LinkedIn: https://www.linkedin.com/company/100504475
Twitter: https://x.com/albumentations
A tale of scale & speed: How the US Navy is enabling software delivery from l...sonjaschweigert1
Rapid and secure feature delivery is a goal across every application team and every branch of the DoD. The Navy’s DevSecOps platform, Party Barge, has achieved:
- Reduction in onboarding time from 5 weeks to 1 day
- Improved developer experience and productivity through actionable findings and reduction of false positives
- Maintenance of superior security standards and inherent policy enforcement with Authorization to Operate (ATO)
Development teams can ship efficiently and ensure applications are cyber ready for Navy Authorizing Officials (AOs). In this webinar, Sigma Defense and Anchore will give attendees a look behind the scenes and demo secure pipeline automation and security artifacts that speed up application ATO and time to production.
We will cover:
- How to remove silos in DevSecOps
- How to build efficient development pipeline roles and component templates
- How to deliver security artifacts that matter for ATO’s (SBOMs, vulnerability reports, and policy evidence)
- How to streamline operations with automated policy checks on container images
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
Pushing the limits of ePRTC: 100ns holdover for 100 daysAdtran
At WSTS 2024, Alon Stern explored the topic of parametric holdover and explained how recent research findings can be implemented in real-world PNT networks to achieve 100 nanoseconds of accuracy for up to 100 days.
UiPath Test Automation using UiPath Test Suite series, part 5DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 5. In this session, we will cover CI/CD with devops.
Topics covered:
CI/CD with in UiPath
End-to-end overview of CI/CD pipeline with Azure devops
Speaker:
Lyndsey Byblow, Test Suite Sales Engineer @ UiPath, Inc.
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024Neo4j
Neha Bajwa, Vice President of Product Marketing, Neo4j
Join us as we explore breakthrough innovations enabled by interconnected data and AI. Discover firsthand how organizations use relationships in data to uncover contextual insights and solve our most pressing challenges – from optimizing supply chains, detecting fraud, and improving customer experiences to accelerating drug discoveries.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
Removing Uninteresting Bytes in Software FuzzingAftab Hussain
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
Communications Mining Series - Zero to Hero - Session 1DianaGray10
This session provides introduction to UiPath Communication Mining, importance and platform overview. You will acquire a good understand of the phases in Communication Mining as we go over the platform with you. Topics covered:
• Communication Mining Overview
• Why is it important?
• How can it help today’s business and the benefits
• Phases in Communication Mining
• Demo on Platform overview
• Q/A
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...SOFTTECHHUB
The choice of an operating system plays a pivotal role in shaping our computing experience. For decades, Microsoft's Windows has dominated the market, offering a familiar and widely adopted platform for personal and professional use. However, as technological advancements continue to push the boundaries of innovation, alternative operating systems have emerged, challenging the status quo and offering users a fresh perspective on computing.
One such alternative that has garnered significant attention and acclaim is Nitrux Linux 3.5.0, a sleek, powerful, and user-friendly Linux distribution that promises to redefine the way we interact with our devices. With its focus on performance, security, and customization, Nitrux Linux presents a compelling case for those seeking to break free from the constraints of proprietary software and embrace the freedom and flexibility of open-source computing.
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfPaige Cruz
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
14. 14
Terminology
Nodes of the model are called states
Edges of the model are called transitions
A test case is a path from start to exit
A random test is generated using a random walk from the
start state to the exit state
A test suite is a collection of test cases
Model coverage means that each transition is included in at
least one test case
14
15. 15
Workflow
1. Define test objective
and software to test
2. Analyze requirements,
software under test,
existing test cases!
6. Execute test cases,
analyze results,
remove bugs
3. Create models
4. Setup infrastructure
5. Generate test cases (TestMonkey and
DataProvider)
15
18. 18
Example: Search Form
Main scenarios:
1. Some valid search input
a) that matches db
b) that doesn’t match db
2. Invalid search input (evil)
3. No search input
Endless number of test input combinations
Our approach: build model(s) that can be extended as necessary
28. 28
Example: detected defect
We can register
Clarkson’s
29. Example: detected defect
Clarkson’s
We get this error
System crash!
However, if we search for
Clarkson’s
Other examples of detected defects:
• Loss of state when moving back and forth between pages
• Records missing in search results due to sorting issues