Improving code design with automated checks
•
0 likes•275 views
RuboCop is a tool that analyzes code and checks for stylistic issues, errors, and metrics like class and method length. It can detect potential code smells. The document discusses how to configure RuboCop rules and integrate it into a pull request workflow to automatically check code quality. Automated checks help evolve code design over time by surfacing issues for developers to address or ignore as they see fit. The goal is to continually improve code through refactoring when problems are found.
Report
Share
Report
Share
Download to read offline
Recommended
Known XML Vulnerabilities Are Still a Threat to Popular Parsers ! & Open Sour...
The document summarizes research into vulnerabilities in XML parsers related to billion laughs (BIL) denial of service attacks and XML external entity (XXE) attacks. The research assessed 13 XML parsers and 8 open source systems that use XML parsers. It found that over half of the parsers tested were vulnerable to BIL and XXE attacks. It also found that all of the open source systems tested were vulnerable because they used vulnerable parsers without applying any mitigation techniques. The research concludes that BIL and XXE attacks remain successful against many modern XML parsers and systems that use them. It recommends that software developers configure parsers securely and limit vulnerable features, and that parser developers improve security in their default configurations.
Search-Based Robustness Testing of Data Processing Systems
This document describes an approach to automatically generate robustness test cases for data processing systems using search-based testing and evolutionary algorithms. The approach uses model-based mutation to generate test inputs and model-based validation as an oracle to evaluate the test cases. An evolutionary algorithm is used to search for test cases that optimize coverage of various objectives like covering different parts of the data model, different types of data faults, clauses in input/output constraints, and code elements. The effectiveness of generated test suites is determined by measuring coverage of these objectives. The approach was evaluated on an industrial data processing system as a case study.
QTP AUTOMATION TESTING SYLLABUS
This 3 month course covers QuickTest Professional (QTP) automation testing and costs 10000 rupees. The course covers topics such as introduction to automation testing, using QTP tools for recording and running tests, VB scripting, working with object repositories, parameterizing and data-driven testing, and designing automation frameworks. The classes are provided by Shpine Technologies located in Chennai, India.
SBST 2019 Keynote
The document summarizes research conducted by the Software Verification and Validation Group at the University of Luxembourg on testing cyber physical systems via evolutionary algorithms and machine learning. The group develops techniques to generate test inputs for autonomous systems like automated driving using genetic algorithms and optimizes the search process using machine learning. This guided search aims to find test cases that could reveal violations of critical safety requirements with fewer simulation runs. The approach is demonstrated on an industrial project that tests requirements for the automated emergency braking features of autonomous vehicles.
Aerial - The Executable Requirements Engine - Introduction
This is initial presentation about Aerial the engine for executable requirements. It is initial overview showing what is the purpose of this engine, where and how it is used.
Each slide contains detailed notes. So, you can turn them on to have more detailed explanation
Evaluating Model Testing and Model Checking for Finding Requirements Violatio...
Model checking and model testing were compared for finding requirements violations in Simulink models. Model checking uses formal methods to exhaustively verify properties, but may not be applicable to some model constructs. Model testing uses meta-heuristic search to dynamically execute models and identify failures. Both approaches were applied to an industrial Simulink benchmark containing 11 models and 92 requirements. Model testing found violations of 40 requirements, while model checking could exhaustively prove 41 requirements and found violations of 23 requirements, but could not handle one of the models.
Tests - Time saver or time waster?
This presentation covers:
- Different test types: Unit tests, End-to-end tests, Component tests, Integration tests, ...
- How TDD is a radical change in programming by splitting specification, feature development and design activities.
- How TDD is a practice to develop a feature in small iterations with less bugs from v1.
CodeChecker Overview Nov 2019
Using static code analysis tools and detecting and fixing identified issues is very important in order to improve the quality and security of the code baseline.
CodeChecker (https://github.com/Ericsson/codechecker ) is an open source analyzer tooling, defect database and viewer extension for the Clang Static Analyzer and Clang Tidy.
It provides a number of additional features:
- Good visualization of problems in the code
- Overview of results for the whole product
- Filtering
- Cross translational unit analysis and statistical checkers support
- Suppression handling
- And many others...
These features simplify the follow up of results and make it more efficient.
In the video, an overview of features and capabilities of CodeChecker is demonstrated as well as a description and recommendation of how to introduce new tools.
Recording of the demo: https://youtu.be/sQ2Qj0kHoRY published in C++ Dublin User group https://www.youtube.com/channel/UCZ4UNE_1IMUFfAhcdq7CMOg/
Useful links:
open source project: https://github.com/Ericsson/codechecker
http://codechecker-demo.eastus.cloudapp.azure.com/login.html#
demo/demo
https://codechecker.readthedocs.io/en/latest/
http://clang-analyzer.llvm.org/available_checks.html
http://clang.llvm.org/extra/clang-tidy/checks/list.html
Other related videos about Clang Static Analyzer and CodeChecker that goes a bit more deeply into how Clang Static Analyzer works:
Clang Static Analysis - Meeting C++ 2016 Gabor Horvath
https://www.youtube.com/watch?v=UcxF6CVueDM
CppCon 2016: Gabor Horvath “Make Friends with the Clang Static Analysis Tools"
https://www.youtube.com/watch?v=AQF6hjLKsnM
Recommended
Known XML Vulnerabilities Are Still a Threat to Popular Parsers ! & Open Sour...
The document summarizes research into vulnerabilities in XML parsers related to billion laughs (BIL) denial of service attacks and XML external entity (XXE) attacks. The research assessed 13 XML parsers and 8 open source systems that use XML parsers. It found that over half of the parsers tested were vulnerable to BIL and XXE attacks. It also found that all of the open source systems tested were vulnerable because they used vulnerable parsers without applying any mitigation techniques. The research concludes that BIL and XXE attacks remain successful against many modern XML parsers and systems that use them. It recommends that software developers configure parsers securely and limit vulnerable features, and that parser developers improve security in their default configurations.
Search-Based Robustness Testing of Data Processing Systems
This document describes an approach to automatically generate robustness test cases for data processing systems using search-based testing and evolutionary algorithms. The approach uses model-based mutation to generate test inputs and model-based validation as an oracle to evaluate the test cases. An evolutionary algorithm is used to search for test cases that optimize coverage of various objectives like covering different parts of the data model, different types of data faults, clauses in input/output constraints, and code elements. The effectiveness of generated test suites is determined by measuring coverage of these objectives. The approach was evaluated on an industrial data processing system as a case study.
QTP AUTOMATION TESTING SYLLABUS
This 3 month course covers QuickTest Professional (QTP) automation testing and costs 10000 rupees. The course covers topics such as introduction to automation testing, using QTP tools for recording and running tests, VB scripting, working with object repositories, parameterizing and data-driven testing, and designing automation frameworks. The classes are provided by Shpine Technologies located in Chennai, India.
SBST 2019 Keynote
The document summarizes research conducted by the Software Verification and Validation Group at the University of Luxembourg on testing cyber physical systems via evolutionary algorithms and machine learning. The group develops techniques to generate test inputs for autonomous systems like automated driving using genetic algorithms and optimizes the search process using machine learning. This guided search aims to find test cases that could reveal violations of critical safety requirements with fewer simulation runs. The approach is demonstrated on an industrial project that tests requirements for the automated emergency braking features of autonomous vehicles.
Aerial - The Executable Requirements Engine - Introduction
This is initial presentation about Aerial the engine for executable requirements. It is initial overview showing what is the purpose of this engine, where and how it is used.
Each slide contains detailed notes. So, you can turn them on to have more detailed explanation
Evaluating Model Testing and Model Checking for Finding Requirements Violatio...
Model checking and model testing were compared for finding requirements violations in Simulink models. Model checking uses formal methods to exhaustively verify properties, but may not be applicable to some model constructs. Model testing uses meta-heuristic search to dynamically execute models and identify failures. Both approaches were applied to an industrial Simulink benchmark containing 11 models and 92 requirements. Model testing found violations of 40 requirements, while model checking could exhaustively prove 41 requirements and found violations of 23 requirements, but could not handle one of the models.
Tests - Time saver or time waster?
This presentation covers:
- Different test types: Unit tests, End-to-end tests, Component tests, Integration tests, ...
- How TDD is a radical change in programming by splitting specification, feature development and design activities.
- How TDD is a practice to develop a feature in small iterations with less bugs from v1.
CodeChecker Overview Nov 2019
Using static code analysis tools and detecting and fixing identified issues is very important in order to improve the quality and security of the code baseline.
CodeChecker (https://github.com/Ericsson/codechecker ) is an open source analyzer tooling, defect database and viewer extension for the Clang Static Analyzer and Clang Tidy.
It provides a number of additional features:
- Good visualization of problems in the code
- Overview of results for the whole product
- Filtering
- Cross translational unit analysis and statistical checkers support
- Suppression handling
- And many others...
These features simplify the follow up of results and make it more efficient.
In the video, an overview of features and capabilities of CodeChecker is demonstrated as well as a description and recommendation of how to introduce new tools.
Recording of the demo: https://youtu.be/sQ2Qj0kHoRY published in C++ Dublin User group https://www.youtube.com/channel/UCZ4UNE_1IMUFfAhcdq7CMOg/
Useful links:
open source project: https://github.com/Ericsson/codechecker
http://codechecker-demo.eastus.cloudapp.azure.com/login.html#
demo/demo
https://codechecker.readthedocs.io/en/latest/
http://clang-analyzer.llvm.org/available_checks.html
http://clang.llvm.org/extra/clang-tidy/checks/list.html
Other related videos about Clang Static Analyzer and CodeChecker that goes a bit more deeply into how Clang Static Analyzer works:
Clang Static Analysis - Meeting C++ 2016 Gabor Horvath
https://www.youtube.com/watch?v=UcxF6CVueDM
CppCon 2016: Gabor Horvath “Make Friends with the Clang Static Analysis Tools"
https://www.youtube.com/watch?v=AQF6hjLKsnM
Code review
Code review in TFS is an important concern. In this presentation we will learn now to implement best practices while doing code review with TFS.
Large Language Models for Test Case Evolution and Repair
Large language models show promise for test case repair tasks. LLMs can be applied to tasks like test case generation, classification of flaky tests, and test case evolution and repair. The paper presents TaRGet, a framework that uses LLMs for automated test case repair. TaRGet takes as input a broken test case and code changes to the system under test, and outputs a repaired test case. Evaluation shows TaRGet achieves over 80% plausible repair accuracy. The paper analyzes repair characteristics, evaluates different LLM and input/output formats, and examines the impact of fine-tuning data size on performance.
EKON 23 Code_review_checklist
Code Review Checklist: How far is a code review going? "Metrics measure the design of code after it has been written, a Review proofs it and Refactoring improves code."
In this paper a document structure is shown and tips for a code review.
Some checks fits with your existing tools and simply raises a hand when the quality or security of your codebase is impaired.
Application Architecture April 2014
This document discusses best practices for application architecture, including:
- Using inversion of control and dependency injection to create loosely coupled and testable code
- Applying the single responsibility principle to have focused classes that are easier to maintain
- Employing patterns like extract method and execute around method to reduce code duplication
- Structuring applications using architectures like onion architecture or n-tier to organize code clearly
- Logging executed use cases/events for replay testing before releases to check for bugs
Pragmatic Code Coverage
Code coverage is a measure of how much source code is covered during testing. It is not a goal in itself but can be used pragmatically to improve testing in several ways. Coverage data should be filtered and combined with other metrics to prioritize test development and focus on the most important or risky code. While 100% coverage may not be needed or prove quality, coverage is a useful tool when used properly along with other techniques rather than in isolation or as the only metric.
Incremental Queries and Transformations for Engineering Critical Systems
This document discusses incremental queries and transformations for engineering critical systems. It describes how model transformations can be used in critical systems engineering to enable early validation of system models. It presents EMF-IncQuery and VIATRA, which allow for incremental queries and transformations over models. These technologies have been applied in various industrial domains including avionics, automotive, and telecommunications. The talk concludes by discussing some of the industrial applications and contributors to this work.
Incremental Model Queries for Model-Dirven Software Engineering
- The document discusses incremental model queries and transformations for model-driven software engineering.
- It introduces the EMF-IncQuery framework for performing incremental graph queries on EMF models. These queries can be used for tasks like validation of design rules.
- Model transformations are used to generate code, tests, and other artifacts from system models. Traceability links between models and code enable change impact analysis. Different levels of incrementality in model transformations are discussed.
Improving Code Quality Through Effective Review Process
The document discusses improving code quality through effective code review processes. It outlines common coding mistakes like redundant code, long or deeply nested functions, large modules, poor comments, and hardcoding. It recommends following best practices like coding guidelines, centralized server communication, and the single responsibility principle. The document also discusses measuring and reducing code complexity, avoiding memory leaks, optimizing images, static code analysis, and profiling to improve code quality.
Best practices in enterprise applications
This document outlines best practices for implementing best practices across the software development life cycle (SDLC). It discusses hierarchical classification of performance tuning at the system, application, and machine levels. It also covers best practices for coding, including general guidelines, guidelines for specific technologies like JSP and EJB, and practices for code reviews like peer reviews and architect reviews. The goal is to apply best practices throughout the end-to-end processes of the SDLC.
MDE in Practice
A seminar in advanced Software Engineering concerning using models to guide the development process, and QVT to transfer a model into another model automatically
Clean Code V2
The document discusses the importance of clean code and avoiding software rot. It outlines characteristics of rotting software like rigidity, fragility, immobility and viscosity. The solution discussed is adopting good practices like those in software craftsmanship and clean code skills. These include principles like DRY, keeping methods small, using descriptive names and comments, following SOLID principles, and prioritizing readability and maintainability over optimizations.
NDepend Public PPT (2008)
This document provides an overview of the capabilities of NDepend for analyzing source code dependencies, quality metrics, code coverage, state and mutability, potential dead code, naming conventions, object models, and build process health. It describes how to use Code Query Language (CQL) to write queries and constraints to examine the code base and identify issues.
Code Metrics
Some of the most common and easy-to-calculate/easy-to-measure code metrics. Understanding these can help you make your code better: avoiding code rot and writing maintainable code all starts here. Content is created for C# .net, however, the underlying principles apply to other languages/frameworks as well.
AdaCore Paris Tech Day 2016: Jose Ruiz - QGen Tech Update
- QGen is a code generator that can generate code from Simulink models. It supports Processor-in-the-Loop testing, has multiple user interfaces, and is the basis for ongoing research focused on system and software integrity.
- It allows for customization at the block and arithmetic levels to reuse pre-certified code libraries. This is done through configuration files that specify functions or libraries to use.
- QGen has achieved a TQL-1 qualification which provides benefits like not needing to review generated code or create low-level tests. This qualification puts requirements on QGen development.
- A QGen debugger provides synchronized views of models, code, and assembly to help with model-level debugging.
Thesis Defense (Gwendal DANIEL) - Nov 2017
This document summarizes Gwendal Daniel's PhD thesis on efficient persistence, querying, and transformation of large models. It presents four main contributions:
1. NeoEMF, a scalable model persistence framework that allows storing models across multiple databases for improved performance and memory usage.
2. PrefetchML, a model prefetching and caching component that uses declarative rules to efficiently load related model elements from the database.
3. Mogwaï, an approach to generate efficient graph database queries from OCL expressions to compute model queries without overhead from modeling frameworks.
4. Gremlin-ATL, an extension of Mogwaï to generate Gremlin traversals from ATL
Improving the Quality of Existing Software
The document discusses techniques for improving the quality of existing software, including reducing technical debt, following principles like DRY and SOLID, using characterization tests to preserve behavior during refactoring, and improving skills to write higher quality code faster. It covers topics like refactoring, test-driven development, dependency inversion, and design patterns. The goal is to maintain and enhance application code quality over time through refactoring and preventing technical debt.
SAST, CWE, SEI CERT and other smart words from the information security world
This document discusses static application security testing (SAST) and how it can help detect vulnerabilities in code. It provides background on how code bases and error densities are growing over time. It then discusses various standards and classifications for weaknesses and vulnerabilities, such as CWE, CVE, MISRA, and SEI CERT. It emphasizes that SAST tools can help detect vulnerabilities early and provide coverage of entire code bases, but may produce false positives. Finally, it suggests introducing SAST tools correctly through configuration, continuous integration, and addressing warnings as technical debt.
(automatic) Testing: from business to university and back
This talk cares about the fundamentals of testing, a little bit history of how the professional community developed what we currently know as testing, but also about why I should care about testing? why is it important to do a test? What is important to test? What is not important to test? How to do testing?
There some examples in plnker just to see each step, and many surprises.
This talk also compares what people learned in the Computer Sciences and Engineering degrees and what people does in testing. It gives some tips to catch up with current state of art and gives some points to start changing syllabus to make better engineers.
This talk is good for beginners, teachers, bosses, but also for seasoned techies that just want to light up some of the ideas that they might have been hatching.
Spoiler alert: testing will save you development time and make you a good professional.
Design Like a Pro: Scripting Best Practices
Scripting experts from Inductive Automation cover general best practices that will help you add flexibility and customization to HMI, SCADA, IIoT, and other industrial applications. Some specific tips about using scripting in the Ignition platform will be included as well.
In this webinar, learn more about:
• Common scripting pitfalls and how to avoid them
• The best programming languages to use
• Things to consider before using scripting
• How scripting environments work
• Scripting timesavers
• And more
Application Architecture
This document discusses application architecture best practices. It recommends using inversion of control and dependency injection to create loosely coupled and testable code. Classes should have a single responsibility to reduce complexity. Code duplication should be reduced through refactoring techniques like extract method. The document presents the Onion Architecture as a way to structure applications into layers, with dependencies flowing inward. It suggests packaging code by feature to minimize the impact of changes. Finally, it proposes logging executed use cases as events that can be replayed to test for bugs before new releases.
Manyata Tech Park Bangalore_ Infrastructure, Facilities and More
Located in the bustling city of Bangalore, Manyata Tech Park stands as one of India’s largest and most prominent tech parks, playing a pivotal role in shaping the city’s reputation as the Silicon Valley of India. Established to cater to the burgeoning IT and technology sectors
Why Apache Kafka Clusters Are Like Galaxies (And Other Cosmic Kafka Quandarie...
Closing talk for the Performance Engineering track at Community Over Code EU (Bratislava, Slovakia, June 5 2024) https://eu.communityovercode.org/sessions/2024/why-apache-kafka-clusters-are-like-galaxies-and-other-cosmic-kafka-quandaries-explored/ Instaclustr (now part of NetApp) manages 100s of Apache Kafka clusters of many different sizes, for a variety of use cases and customers. For the last 7 years I’ve been focused outwardly on exploring Kafka application development challenges, but recently I decided to look inward and see what I could discover about the performance, scalability and resource characteristics of the Kafka clusters themselves. Using a suite of Performance Engineering techniques, I will reveal some surprising discoveries about cosmic Kafka mysteries in our data centres, related to: cluster sizes and distribution (using Zipf’s Law), horizontal vs. vertical scalability, and predicting Kafka performance using metrics, modelling and regression techniques. These insights are relevant to Kafka developers and operators.
More Related Content
Similar to Improving code design with automated checks
Code review
Code review in TFS is an important concern. In this presentation we will learn now to implement best practices while doing code review with TFS.
Large Language Models for Test Case Evolution and Repair
Large language models show promise for test case repair tasks. LLMs can be applied to tasks like test case generation, classification of flaky tests, and test case evolution and repair. The paper presents TaRGet, a framework that uses LLMs for automated test case repair. TaRGet takes as input a broken test case and code changes to the system under test, and outputs a repaired test case. Evaluation shows TaRGet achieves over 80% plausible repair accuracy. The paper analyzes repair characteristics, evaluates different LLM and input/output formats, and examines the impact of fine-tuning data size on performance.
EKON 23 Code_review_checklist
Code Review Checklist: How far is a code review going? "Metrics measure the design of code after it has been written, a Review proofs it and Refactoring improves code."
In this paper a document structure is shown and tips for a code review.
Some checks fits with your existing tools and simply raises a hand when the quality or security of your codebase is impaired.
Application Architecture April 2014
This document discusses best practices for application architecture, including:
- Using inversion of control and dependency injection to create loosely coupled and testable code
- Applying the single responsibility principle to have focused classes that are easier to maintain
- Employing patterns like extract method and execute around method to reduce code duplication
- Structuring applications using architectures like onion architecture or n-tier to organize code clearly
- Logging executed use cases/events for replay testing before releases to check for bugs
Pragmatic Code Coverage
Code coverage is a measure of how much source code is covered during testing. It is not a goal in itself but can be used pragmatically to improve testing in several ways. Coverage data should be filtered and combined with other metrics to prioritize test development and focus on the most important or risky code. While 100% coverage may not be needed or prove quality, coverage is a useful tool when used properly along with other techniques rather than in isolation or as the only metric.
Incremental Queries and Transformations for Engineering Critical Systems
This document discusses incremental queries and transformations for engineering critical systems. It describes how model transformations can be used in critical systems engineering to enable early validation of system models. It presents EMF-IncQuery and VIATRA, which allow for incremental queries and transformations over models. These technologies have been applied in various industrial domains including avionics, automotive, and telecommunications. The talk concludes by discussing some of the industrial applications and contributors to this work.
Incremental Model Queries for Model-Dirven Software Engineering
- The document discusses incremental model queries and transformations for model-driven software engineering.
- It introduces the EMF-IncQuery framework for performing incremental graph queries on EMF models. These queries can be used for tasks like validation of design rules.
- Model transformations are used to generate code, tests, and other artifacts from system models. Traceability links between models and code enable change impact analysis. Different levels of incrementality in model transformations are discussed.
Improving Code Quality Through Effective Review Process
The document discusses improving code quality through effective code review processes. It outlines common coding mistakes like redundant code, long or deeply nested functions, large modules, poor comments, and hardcoding. It recommends following best practices like coding guidelines, centralized server communication, and the single responsibility principle. The document also discusses measuring and reducing code complexity, avoiding memory leaks, optimizing images, static code analysis, and profiling to improve code quality.
Best practices in enterprise applications
This document outlines best practices for implementing best practices across the software development life cycle (SDLC). It discusses hierarchical classification of performance tuning at the system, application, and machine levels. It also covers best practices for coding, including general guidelines, guidelines for specific technologies like JSP and EJB, and practices for code reviews like peer reviews and architect reviews. The goal is to apply best practices throughout the end-to-end processes of the SDLC.
MDE in Practice
A seminar in advanced Software Engineering concerning using models to guide the development process, and QVT to transfer a model into another model automatically
Clean Code V2
The document discusses the importance of clean code and avoiding software rot. It outlines characteristics of rotting software like rigidity, fragility, immobility and viscosity. The solution discussed is adopting good practices like those in software craftsmanship and clean code skills. These include principles like DRY, keeping methods small, using descriptive names and comments, following SOLID principles, and prioritizing readability and maintainability over optimizations.
NDepend Public PPT (2008)
This document provides an overview of the capabilities of NDepend for analyzing source code dependencies, quality metrics, code coverage, state and mutability, potential dead code, naming conventions, object models, and build process health. It describes how to use Code Query Language (CQL) to write queries and constraints to examine the code base and identify issues.
Code Metrics
Some of the most common and easy-to-calculate/easy-to-measure code metrics. Understanding these can help you make your code better: avoiding code rot and writing maintainable code all starts here. Content is created for C# .net, however, the underlying principles apply to other languages/frameworks as well.
AdaCore Paris Tech Day 2016: Jose Ruiz - QGen Tech Update
- QGen is a code generator that can generate code from Simulink models. It supports Processor-in-the-Loop testing, has multiple user interfaces, and is the basis for ongoing research focused on system and software integrity.
- It allows for customization at the block and arithmetic levels to reuse pre-certified code libraries. This is done through configuration files that specify functions or libraries to use.
- QGen has achieved a TQL-1 qualification which provides benefits like not needing to review generated code or create low-level tests. This qualification puts requirements on QGen development.
- A QGen debugger provides synchronized views of models, code, and assembly to help with model-level debugging.
Thesis Defense (Gwendal DANIEL) - Nov 2017
This document summarizes Gwendal Daniel's PhD thesis on efficient persistence, querying, and transformation of large models. It presents four main contributions:
1. NeoEMF, a scalable model persistence framework that allows storing models across multiple databases for improved performance and memory usage.
2. PrefetchML, a model prefetching and caching component that uses declarative rules to efficiently load related model elements from the database.
3. Mogwaï, an approach to generate efficient graph database queries from OCL expressions to compute model queries without overhead from modeling frameworks.
4. Gremlin-ATL, an extension of Mogwaï to generate Gremlin traversals from ATL
Improving the Quality of Existing Software
The document discusses techniques for improving the quality of existing software, including reducing technical debt, following principles like DRY and SOLID, using characterization tests to preserve behavior during refactoring, and improving skills to write higher quality code faster. It covers topics like refactoring, test-driven development, dependency inversion, and design patterns. The goal is to maintain and enhance application code quality over time through refactoring and preventing technical debt.
SAST, CWE, SEI CERT and other smart words from the information security world
This document discusses static application security testing (SAST) and how it can help detect vulnerabilities in code. It provides background on how code bases and error densities are growing over time. It then discusses various standards and classifications for weaknesses and vulnerabilities, such as CWE, CVE, MISRA, and SEI CERT. It emphasizes that SAST tools can help detect vulnerabilities early and provide coverage of entire code bases, but may produce false positives. Finally, it suggests introducing SAST tools correctly through configuration, continuous integration, and addressing warnings as technical debt.
(automatic) Testing: from business to university and back
This talk cares about the fundamentals of testing, a little bit history of how the professional community developed what we currently know as testing, but also about why I should care about testing? why is it important to do a test? What is important to test? What is not important to test? How to do testing?
There some examples in plnker just to see each step, and many surprises.
This talk also compares what people learned in the Computer Sciences and Engineering degrees and what people does in testing. It gives some tips to catch up with current state of art and gives some points to start changing syllabus to make better engineers.
This talk is good for beginners, teachers, bosses, but also for seasoned techies that just want to light up some of the ideas that they might have been hatching.
Spoiler alert: testing will save you development time and make you a good professional.
Design Like a Pro: Scripting Best Practices
Scripting experts from Inductive Automation cover general best practices that will help you add flexibility and customization to HMI, SCADA, IIoT, and other industrial applications. Some specific tips about using scripting in the Ignition platform will be included as well.
In this webinar, learn more about:
• Common scripting pitfalls and how to avoid them
• The best programming languages to use
• Things to consider before using scripting
• How scripting environments work
• Scripting timesavers
• And more
Application Architecture
This document discusses application architecture best practices. It recommends using inversion of control and dependency injection to create loosely coupled and testable code. Classes should have a single responsibility to reduce complexity. Code duplication should be reduced through refactoring techniques like extract method. The document presents the Onion Architecture as a way to structure applications into layers, with dependencies flowing inward. It suggests packaging code by feature to minimize the impact of changes. Finally, it proposes logging executed use cases as events that can be replayed to test for bugs before new releases.
Similar to Improving code design with automated checks (20)
Large Language Models for Test Case Evolution and Repair
Large Language Models for Test Case Evolution and Repair
Incremental Queries and Transformations for Engineering Critical Systems
Incremental Queries and Transformations for Engineering Critical Systems
Incremental Model Queries for Model-Dirven Software Engineering
Incremental Model Queries for Model-Dirven Software Engineering
Improving Code Quality Through Effective Review Process
Improving Code Quality Through Effective Review Process
AdaCore Paris Tech Day 2016: Jose Ruiz - QGen Tech Update
AdaCore Paris Tech Day 2016: Jose Ruiz - QGen Tech Update
SAST, CWE, SEI CERT and other smart words from the information security world
SAST, CWE, SEI CERT and other smart words from the information security world
(automatic) Testing: from business to university and back
(automatic) Testing: from business to university and back
Recently uploaded
Manyata Tech Park Bangalore_ Infrastructure, Facilities and More
Located in the bustling city of Bangalore, Manyata Tech Park stands as one of India’s largest and most prominent tech parks, playing a pivotal role in shaping the city’s reputation as the Silicon Valley of India. Established to cater to the burgeoning IT and technology sectors
Why Apache Kafka Clusters Are Like Galaxies (And Other Cosmic Kafka Quandarie...
Closing talk for the Performance Engineering track at Community Over Code EU (Bratislava, Slovakia, June 5 2024) https://eu.communityovercode.org/sessions/2024/why-apache-kafka-clusters-are-like-galaxies-and-other-cosmic-kafka-quandaries-explored/ Instaclustr (now part of NetApp) manages 100s of Apache Kafka clusters of many different sizes, for a variety of use cases and customers. For the last 7 years I’ve been focused outwardly on exploring Kafka application development challenges, but recently I decided to look inward and see what I could discover about the performance, scalability and resource characteristics of the Kafka clusters themselves. Using a suite of Performance Engineering techniques, I will reveal some surprising discoveries about cosmic Kafka mysteries in our data centres, related to: cluster sizes and distribution (using Zipf’s Law), horizontal vs. vertical scalability, and predicting Kafka performance using metrics, modelling and regression techniques. These insights are relevant to Kafka developers and operators.
一比一原版(UMN毕业证)明尼苏达大学毕业证如何办理
UMN硕士毕业证成绩单【微信95270640】购买（明尼苏达大学毕业证成绩单硕士学历）Q微信95270640代办UMN学历认证留信网伪造明尼苏达大学学位证书精仿明尼苏达大学本科/硕士文凭证书补办明尼苏达大学 diplomaoffer,Transcript购买明尼苏达大学毕业证成绩单购买UMN假毕业证学位证书购买伪造明尼苏达大学文凭证书学位证书,专业办理雅思、托福成绩单，学生ID卡，在读证明，海外各大学offer录取通知书，毕业证书，成绩单，文凭等材料:1:1完美还原毕业证、offer录取通知书、学生卡等各种在读或毕业材料的防伪工艺（包括 烫金、烫银、钢印、底纹、凹凸版、水印、防伪光标、热敏防伪、文字图案浮雕，激光镭射，紫外荧光，温感光标）学校原版上有的工艺我们一样不会少，不论是老版本还是最新版本，都能保证最高程度还原，力争完美以求让所有同学都能享受到完美的品质服务。
#毕业证成绩单 #毕业証 #成绩单 #學生卡 #OFFER录取通知书 #雅思#托福等……
国外大学明尼苏达大学明尼苏达大学毕业证offer制作方法（一对一专业服务）
1客户提供办理信息：姓名生日专业学位毕业时间等（如信息不确定可以咨询顾问：我们有专业老师帮你查询）；
2开始安排制作毕业证成绩单电子图；
3毕业证成绩单电子版做好以后发送给您确认；
4毕业证成绩单电子版您确认信息无误之后安排制作成品；
5成品做好拍照或者视频给您确认；
6快递给客户（国内顺丰国外DHLUPS等快读邮寄）
— — 制作工艺 【高仿真】— —
凭借多年的制作经验本公司制作明尼苏达大学明尼苏达大学毕业证offer《激光》《水印》《钢印》《烫金》《紫外线》凹凸版uv版等防伪技术一流高精仿度几乎跟学校100%相同！让您绝对满意。
— — -公司理念 【诚信为主】— — —
我們以質量求生存.以服务求发展有雄厚的实力专业的团队咨询顾问为您细心解答可详谈是真是假眼见为实让您真正放心平凡人生,尽我所能助您一臂之力让我們携手圆您梦想!
此贴长年有效【贴心专线/微-信: 95270640】敬请保留此联系方式以备用！如有不在线请给我们留言！我们将在第一时间给您回复!上散发着一抹抹的光晕而这每处自然形成的细节融合在一起浑然天成的美实在令人心生愉悦小道的周边无秩序的生长着几株艳丽的野花红的粉的紫的虽混乱无章却给这幅美景更增添一份性感夹杂着一份纯洁的妖娆毫无违和感实在给人带来一份悠然幸福的心情如果说现在的审美已经断然拒绝了无声的话那么在树林间飞掠而过的小鸟叽叽咋咋的叫声是否就是这最后的点睛之笔悠然走在林间的小路上宁静与清香一丝丝的盛夏气息吸入身体昔日生活里的繁忙多
一比一原版(sdsu毕业证书)圣地亚哥州立大学毕业证如何办理
原版一模一样【微信：741003700 】【(sdsu毕业证书)圣地亚哥州立大学毕业证成绩单】【微信：741003700 】学位证，留信认证（真实可查，永久存档）原件一模一样纸张工艺/offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。
本公司拥有海外各大学样板无数，能完美还原。
1:1完美还原海外各大学毕业材料上的工艺：水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠。文字图案浮雕、激光镭射、紫外荧光、温感、复印防伪等防伪工艺。材料咨询办理、认证咨询办理请加学历顾问Q/微741003700
【主营项目】
一.毕业证【q微741003700】成绩单、使馆认证、教育部认证、雅思托福成绩单、学生卡等！
二.真实使馆公证(即留学回国人员证明,不成功不收费)
三.真实教育部学历学位认证（教育部存档！教育部留服网站永久可查）
四.办理各国各大学文凭(一对一专业服务,可全程监控跟踪进度)
如果您处于以下几种情况：
◇在校期间，因各种原因未能顺利毕业……拿不到官方毕业证【q/微741003700】
◇面对父母的压力，希望尽快拿到；
◇不清楚认证流程以及材料该如何准备；
◇回国时间很长，忘记办理；
◇回国马上就要找工作，办给用人单位看；
◇企事业单位必须要求办理的
◇需要报考公务员、购买免税车、落转户口
◇申请留学生创业基金
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
办理(sdsu毕业证书)圣地亚哥州立大学毕业证【微信：741003700 】外观非常简单，由纸质材料制成，上面印有校徽、校名、毕业生姓名、专业等信息。
办理(sdsu毕业证书)圣地亚哥州立大学毕业证【微信：741003700 】格式相对统一，各专业都有相应的模板。通常包括以下部分：
校徽：象征着学校的荣誉和传承。
校名:学校英文全称
授予学位：本部分将注明获得的具体学位名称。
毕业生姓名：这是最重要的信息之一，标志着该证书是由特定人员获得的。
颁发日期：这是毕业正式生效的时间，也代表着毕业生学业的结束。
其他信息：根据不同的专业和学位，可能会有一些特定的信息或章节。
办理(sdsu毕业证书)圣地亚哥州立大学毕业证【微信：741003700 】价值很高，需要妥善保管。一般来说，应放置在安全、干燥、防潮的地方，避免长时间暴露在阳光下。如需使用，最好使用复印件而不是原件，以免丢失。
综上所述，办理(sdsu毕业证书)圣地亚哥州立大学毕业证【微信：741003700 】是证明身份和学历的高价值文件。外观简单庄重，格式统一，包括重要的个人信息和发布日期。对持有人来说，妥善保管是非常重要的。
J-Spring 2024 - Going serverless with Quarkus, GraalVM native images and AWS ...
Presented at NLJUG's J-Spring 2024.
Unveiling the Advantages of Agile Software Development.pdf
Learn about Agile Software Development's advantages. Simplify your workflow to spur quicker innovation. Jump right in! We have also discussed the advantages.
DevOps Consulting Company | Hire DevOps Services
Spiral Mantra excels in providing comprehensive DevOps services, including Azure and AWS DevOps solutions. As a top DevOps consulting company, we offer controlled services, cloud DevOps, and expert consulting nationwide, including Houston and New York. Our skilled DevOps engineers ensure seamless integration and optimized operations for your business. Choose Spiral Mantra for superior DevOps services.
https://www.spiralmantra.com/devops/
ACE - Team 24 Wrapup event at ahmedabad.
Atlassian Team 24 event wrap-up Ahmedabad. Recap of Atlassian team24 event.
Kubernetes at Scale: Going Multi-Cluster with Istio
Divine Odazie and Jubril Oyetunji share tips on Going Multi-Cluster with Istio Service Mesh at DevOpsDays Houston.
42 Ways to Generate Real Estate Leads - Sellxpert
Generate hot real estate leads with these simple strategies. 42 innovative ways to attract clients in the real estate industry.
The Comprehensive Guide to Validating Audio-Visual Performances.pdf
Ensuring the optimal performance of your audio-visual (AV) equipment is crucial for delivering exceptional experiences. AV performance validation is a critical process that verifies the quality and functionality of your AV setup. Whether you're a content creator, a business conducting webinars, or a homeowner creating a home theater, validating your AV performance is essential.
Alluxio Webinar | 10x Faster Trino Queries on Your Data Platform
Alluxio Webinar
June. 18, 2024
For more Alluxio Events: https://www.alluxio.io/events/
Speaker:
- Jianjian Xie (Staff Software Engineer, Alluxio)
As Trino users increasingly rely on cloud object storage for retrieving data, speed and cloud cost have become major challenges. The separation of compute and storage creates latency challenges when querying datasets; scanning data between storage and compute tiers becomes I/O bound. On the other hand, cloud API costs related to GET/LIST operations and cross-region data transfer add up quickly.
The newly introduced Trino file system cache by Alluxio aims to overcome the above challenges. In this session, Jianjian will dive into Trino data caching strategies, the latest test results, and discuss the multi-level caching architecture. This architecture makes Trino 10x faster for data lakes of any scale, from GB to EB.
What you will learn:
- Challenges relating to the speed and costs of running Trino in the cloud
- The new Trino file system cache feature overview, including the latest development status and test results
- A multi-level cache framework for maximized speed, including Trino file system cache and Alluxio distributed cache
- Real-world cases, including a large online payment firm and a top ridesharing company
- The future roadmap of Trino file system cache and Trino-Alluxio integration
Modelling Up - DDDEurope 2024 - Amsterdam
What to do when you have a perfect model for your software but you are constrained by an imperfect business model?
This talk explores the challenges of bringing modelling rigour to the business and strategy levels, and talking to your non-technical counterparts in the process.
Photoshop Tutorial for Beginners (2024 Edition)
Photoshop Tutorial for Beginners (2024 Edition)
Explore the evolution of programming and software development and design in 2024. Discover emerging trends shaping the future of coding in our insightful analysis."
Here's an overview:Introduction: The Evolution of Programming and Software DevelopmentThe Rise of Artificial Intelligence and Machine Learning in CodingAdopting Low-Code and No-Code PlatformsQuantum Computing: Entering the Software Development MainstreamIntegration of DevOps with Machine Learning: MLOpsAdvancements in Cybersecurity PracticesThe Growth of Edge ComputingEmerging Programming Languages and FrameworksSoftware Development Ethics and AI RegulationSustainability in Software EngineeringThe Future Workforce: Remote and Distributed TeamsConclusion: Adapting to the Changing Software Development LandscapeIntroduction: The Evolution of Programming and Software Development
Photoshop Tutorial for Beginners (2024 Edition)Explore the evolution of programming and software development and design in 2024. Discover emerging trends shaping the future of coding in our insightful analysis."Here's an overview:Introduction: The Evolution of Programming and Software DevelopmentThe Rise of Artificial Intelligence and Machine Learning in CodingAdopting Low-Code and No-Code PlatformsQuantum Computing: Entering the Software Development MainstreamIntegration of DevOps with Machine Learning: MLOpsAdvancements in Cybersecurity PracticesThe Growth of Edge ComputingEmerging Programming Languages and FrameworksSoftware Development Ethics and AI RegulationSustainability in Software EngineeringThe Future Workforce: Remote and Distributed TeamsConclusion: Adapting to the Changing Software Development LandscapeIntroduction: The Evolution of Programming and Software Development
The importance of developing and designing programming in 2024
Programming design and development represents a vital step in keeping pace with technological advancements and meeting ever-changing market needs. This course is intended for anyone who wants to understand the fundamental importance of software development and design, whether you are a beginner or a professional seeking to update your knowledge.
Course objectives:
1. **Learn about the basics of software development:
- Understanding software development processes and tools.
- Identify the role of programmers and designers in software projects.
2. Understanding the software design process:
- Learn about the principles of good software design.
- Discussing common design patterns such as Object-Oriented Design.
3. The importance of user experience (UX) in modern software:
- Explore how user experience can improve software acceptance and usability.
- Tools and techniques to analyze and improve user experience.
4. Increase efficiency and productivity through modern development tools:
- Access to the latest programming tools and languages used in the industry.
- Study live examples of applications
ppt on the brain chip neuralink.pptx
A neural network is a machine learning program, or model, that makes decisions in a manner similar to the human brain, by using processes that mimic the way biological neurons work together to identify phenomena, weigh options and arrive at conclusions.
Operational ease MuleSoft and Salesforce Service Cloud Solution v1.0.pptx
Operational ease MuleSoft and Salesforce Service Cloud Solution v1.0
🏎️Tech Transformation: DevOps Insights from the Experts 👩💻
Connect with fellow Trailblazers, learn from industry experts Glenda Thomson (Salesforce, Principal Technical Architect) and Will Dinn (Judo Bank, Salesforce Development Lead), and discover how to harness DevOps tools with Salesforce.
Enhanced Screen Flows UI/UX using SLDS with Tom Kitt
Join us for an engaging session led by Flow Champion, Tom Kitt. This session will dive into a technique of enhancing the user interfaces and user experiences within Screen Flows using the Salesforce Lightning Design System (SLDS). This technique uses Native functionality, with No Apex Code, No Custom Components and No Managed Packages required.
Recently uploaded (20)
Manyata Tech Park Bangalore_ Infrastructure, Facilities and More
Manyata Tech Park Bangalore_ Infrastructure, Facilities and More
Why Apache Kafka Clusters Are Like Galaxies (And Other Cosmic Kafka Quandarie...
Why Apache Kafka Clusters Are Like Galaxies (And Other Cosmic Kafka Quandarie...
J-Spring 2024 - Going serverless with Quarkus, GraalVM native images and AWS ...
J-Spring 2024 - Going serverless with Quarkus, GraalVM native images and AWS ...
Unveiling the Advantages of Agile Software Development.pdf
Unveiling the Advantages of Agile Software Development.pdf
Migration From CH 1.0 to CH 2.0 and Mule 4.6 & Java 17 Upgrade.pptx
Migration From CH 1.0 to CH 2.0 and Mule 4.6 & Java 17 Upgrade.pptx
Kubernetes at Scale: Going Multi-Cluster with Istio
Kubernetes at Scale: Going Multi-Cluster with Istio
The Comprehensive Guide to Validating Audio-Visual Performances.pdf
The Comprehensive Guide to Validating Audio-Visual Performances.pdf
Alluxio Webinar | 10x Faster Trino Queries on Your Data Platform
Alluxio Webinar | 10x Faster Trino Queries on Your Data Platform
Operational ease MuleSoft and Salesforce Service Cloud Solution v1.0.pptx
Operational ease MuleSoft and Salesforce Service Cloud Solution v1.0.pptx
🏎️Tech Transformation: DevOps Insights from the Experts 👩💻
🏎️Tech Transformation: DevOps Insights from the Experts 👩💻
Enhanced Screen Flows UI/UX using SLDS with Tom Kitt
Enhanced Screen Flows UI/UX using SLDS with Tom Kitt
Improving code design with automated checks
- 1. Improving Code Designwith Automated Checks AndyWaite Engineering ManageratFinanceit financeit.io/careers 1
- 2. RuboCop Categories of rules: » Linting » Style » Security » Naming » Metrics @andyw8 2
- 3. ASimple PullRequest class Product ... + + def discounted_price + price * 0.5 + end end tests are passing @andyw8 3
- 4. RuboCopFailures Offenses: app/models/product.rb:1:1: C: Metrics/ClassLength: Class has too many lines. [101/100] class Product < ApplicationRecord ... ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ @andyw8 4
- 6. 6
- 7. Code Smells » Large Class » Long Function » Long Parameter List @andyw8 7
- 8. Possible Refactorings For a Large Class: » Extract Class » Replace Type Code With Subclass @andyw8 8
- 9. RuboCopMetrics » Metrics/ClassLength » Large Class (default: 100 lines) » Metrics/MethodLength » Long Function (default: 10 lines) » Metrics/ParameterLists (default: 5 params) » Long Parameter List @andyw8 9
- 10. RuboCopSays... "Hmm, this class is getting quite large. I wonder if we should refactor it?" @andyw8 10
- 11. AutomatingtheWorkflow » Aim is to run RuboCop against each pull request » Tools: Code Climate, HoundCI, Pronto » Review the warnings » Choose to act or ignore @andyw8 11
- 12. Summary » Code Metrics can give valuable insights » Make them part of your automated checks » Use them to detect potential Code Smells » Don't make changes only to satisfy RuboCop » But refactor when it makes sense to you » Continually evolve your application's design @andyw8 12