Technical Debt (Dan Nicola, Florin Cardasim)
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Technical Debt is usually referred to as something Bad. Most articles and books on the subject are about how to get rid of technical debt. But is debt always bad? When can it be good? In this session we will see how to use technical debt as tool, and distinguish between good and bad debt. We will discuss about several types of technical debt we can have in our code, what are the acceptable levels of debt and ways to handle it effectively without having to pay a lot of interest.
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The document discusses a presentation by Damian Widera on making SQL Server queries faster. It covers topics like what can make query execution bad, such as full table scans instead of index seeks. It also discusses how to identify issues like unnecessary sorting, hashing, or spools, and when scans may be preferable to seeks. The presentation notes that SQL Server 2016 introduces Query Store, which collects runtime statistics to help troubleshoot performance issues.
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Similar to Technical Debt (Dan Nicola, Florin Cardasim)
Big guns for small guys (reloaded)
This document provides advice and recommendations from an expert on various topics related to web development and Drupal. Some of the key points covered include:
- Testing, especially automated testing, is very important for quality assurance and maintaining reliability. Simplicity is also important for reliability.
- Small teams and clients are preferable to large ones, as they have less bureaucracy, noise and agendas interfering with objectives.
- Planning is essential, especially software architecture planning, but plans will change over time as the project evolves.
- Tools like Ansible, PHPQA tools, Robo, and JetBrains PHPStorm can help with tasks like provisioning, testing, deployment and development. Drupal tools like Drush
“High performance teams" - Marco Cecconi
This document discusses high performance teams and provides tips for building them. It notes that the best programmers can be 10 times more productive than the worst. Highly successful companies like Instagram and Stack Overflow started small but grew rapidly by focusing on optimization and continual improvement. Negative feedback should be about ideas and code, not people, and delivered privately. Teams perform best when they work together toward shared goals, embrace change, and celebrate each other's successes. Simplicity is important to minimize work.
Continuous Delivery (The newest)
This document discusses continuous delivery, which aims to frequently deliver valuable software to users through an automated deployment pipeline in order to reduce costs, time to market, and risks. It outlines the goals of continuous delivery as building the right product through minimum viable products, reducing lead times and costs through optimization and automation, and reducing risks through resilience and small incremental changes. The document provides strategies for implementing continuous delivery including establishing a deployment pipeline, prioritizing user experience, adopting tools to support continuous integration, deployment and monitoring.
Continuous integration
Continuous integration (CI) aims to improve software quality and reduce delivery time by implementing continuous quality control processes like running automated unit, integration, and acceptance tests. CI helps teams be more efficient by quickly identifying issues and getting feedback. Key principles of CI include having a single code repository, automating builds and testing, publishing the latest build daily, and getting builds into production to enable fast feedback. Automating builds is important to ensure consistency across environments and allow issues to be identified and addressed early during development rather than in production.
Software Development in 21st Century
- Many software projects fail to be completed on time and on budget due to unrealistic deadlines, poor estimation of tasks, and changing requirements. Architectural flaws and lack of domain knowledge also contribute to project failures.
- Common problems include inadequate testing, poor code quality, lack of documentation, and developers not wanting to work on code they did not write themselves. Traditional software engineering practices have not changed much over the past 30 years.
- A better approach focuses on rapid feedback through small iterative releases, collaboration with customers, responding flexibly to change, and empowering self-organizing teams. Continuous integration and testing also help catch problems early.
ITCamp 2013 - Florin Coros - Driving Your Team Towards Code Quality
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Introducing Continuous Integration Using Vsts
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Technical Debt for Product Managers by Square Sr PM
Main takeaways:
- Make tech debt visible to the business
- Foster safe spaces to discuss tech debt
- Create tech debt feedback loops to adapt
Managing technical debt
Managing technical debt requires making prudent decisions about design and quality. It is important to 1) register any new debt, 2) assess existing debt, 3) monetize the debt to establish a debt limit, 4) pay down high-interest debt first, and 5) continuously monitor trends to adapt over time. Transparency is key through registering debt, inspection via monetization, and adapting practices as needed.
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What scrum masters and product owners should know about software quality and ...
The document discusses technical debt in software projects. It defines technical debt as compromises in quality or maintainability that accumulate when developers take shortcuts or make quick fixes rather than implementing clean code. Technical debt comes from decisions to cut corners, such as not refactoring code or thoroughly testing features. Over time, technical debt can lead to slower development, more bugs, and heavier testing needs.
The document recommends calculating technical debt through software metrics like code complexity, duplication, and test coverage. It also suggests effective ways to manage technical debt in agile projects, such as creating a technical debt backlog, educating stakeholders, automating tests, and conducting retrospectives to improve practices and prevent accumulating further debt. Regularly paying down
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54 c o m m u n i c at i o n s o f t h e a c m n o.docx
54 c o m m u n i c at i o n s o f t h e a c m | n o v e m b e r 2 0 0 9 | v o l . 5 2 | n o . 1 1
practice
e V e r Y o N e K N o W s M a i N T e N a N C e is difficult and
boring, and therefore avoids doing it. It doesn’t help
that many pointy-haired bosses (PHBs) say things like:
“no one needs to do maintenance—that’s a waste of
time.”
“Get the software out now; we can decide what its
real function is later.”
“Do the hardware first, without thinking about the
software.”
“Don’t allow any room or facility for expansion. You
can decide later how to sandwich the changes in.”
These statements are a fair description of development
during the last boom, and not too far
from what many of us are doing today.
This is not a good thing: when you hit
the first bug, all the time you may have
“saved” by ignoring the need to do
maintenance will be gone.
During a previous boom, General
Electric designed a mainframe that it
claimed would be sufficient for all the
computer uses in Boston, and would
never need to be shut down for repair
or for software tweaks. The machine
it eventually built wasn’t nearly big
enough, but it did succeed at running
continuously without need for hard-
ware or software changes.
Today we have a distributed net-
work of computers provided by thou-
sands of businesses, sufficient for ev-
eryone in at least North America, if not
the world. Still, we must keep shutting
down individual parts of the network to
repair or change the software. We do so
because we’ve forgotten how to do soft-
ware maintenance.
What is software maintenance?
Software maintenance is not like hard-
ware maintenance, which is the return
of the item to its original state. Software
maintenance involves moving an item
away from its original state. It encom-
passes all activities associated with the
process of changing software. That in-
cludes everything associated with “bug
fixes,” functional and performance
enhancements, providing backward
compatibility, updating its algorithm,
covering up hardware errors, creating
user-interface access methods, and
other cosmetic changes.
In software, adding a six-lane au-
tomobile expressway to a railroad
bridge is considered maintenance—
and it would be particularly valuable
if you could do it without stopping the
train traffic.
Is it possible to design software so it
can be maintained in this way? Yes, it
is. So, why don’t we?
the four horsemen of
the apocalypse
There are four approaches to software
You Don’t
Know
Jack about
software
maintenance
D o i : 1 0 . 1 1 4 5 / 1 5 9 2 7 6 1 . 1 5 9 2 7 7 7
Article development led by
queue.acm.org
Long considered an afterthought, software
maintenance is easiest and most effective
when built into a system from the ground up.
BY PauL stachouR anD DaViD coLLieR-BRoWn
P
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t
o
g
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h
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a
L
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h
g
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n
e
W
a
L
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56 c o m m u n i c at i o n s o f t h e .
Agile Methodologies And Extreme Programming
The document discusses Agile development and Extreme Programming (XP). It provides an overview of 12 key practices of XP, including planning games, small releases, test-driven development, pair programming, collective ownership, continuous integration and 40-hour work weeks. It also discusses how XP aims to solve software engineering problems through intensive teamwork, handling changes and staff turnover, and involving customers.
Technical Debt.pptx
The document is a presentation deck about technical debt that covers:
- What technical debt is and how it occurs through bad design decisions or quick development approaches that sacrifice quality
- How to identify technical debt through indicators like comments mentioning certain developers' code or difficulties with setup, deployment, or testing
- Sources of technical debt like time pressure, maintenance neglect, or using outdated libraries
- Why technical debt should be addressed to avoid issues like an uncontrollable codebase and development risks
- How to manage technical debt through practices like refactoring, continuous integration, and prioritizing technical debt in estimations
Software Development Essential Skills
The document discusses essential skills that programmers need versus accidental skills. Essential skills are hard to acquire but long-lasting, including things like managing complexity, writing readable code, and limiting bugs. These skills separate good programmers from bad. Accidental skills like knowledge of a specific programming language are easier to obtain but have shorter usefulness. The document advocates spending time on design, planning, unit testing, discussing solutions with others, and considering alternative solutions rather than just focusing on writing code. Developing essential skills through these practices can help programmers continuously learn and improve over the course of their careers.
Agile Methodologies And Extreme Programming - Svetlin Nakov
1. Agile development and Extreme Programming (XP) are methodologies that focus on iterative development, collaboration, and adaptability.
2. XP consists of 12 key practices including simple design, test-driven development, pair programming, and small releases. It aims to improve quality, reduce risks, and adapt to changing requirements.
3. While XP works well for some projects and teams, its practices may not be suitable or flexible enough for all situations. Developers should understand the principles behind XP and tailor practices as needed for their specific projects.
Making Use of a Knowledgeable Design by Design for Manufacturing
Design for manufacturing, making use of a knowledgeable design staff, improves return on general venture investment by developing efficient, repeatable, trusted items and preventing expensive item problems. Design for manufacturing will improve the high quality of an item from the starting of investment. Vayo provide the best DFM Software, check out design for manufacturing at http://www.vayoinfo.com/
Procedure of Proactively Designing Products by Design for Manufacturability (...
Design for manufacturability (DFM) is the procedure of proactively designing products to improve all the manufacturing features: fabrication, assembly, test, procurement, shipping, delivery, service, and repair, and guarantee the most effective cost, quality, reliability, regulatory compliance, safety, time-to-market, and client fulfillment. VayoInfo provide the best design for manufacturability, check out VayoInfo design for manufacturing at http://www.vayoinfo.com/
Similar to Technical Debt (Dan Nicola, Florin Cardasim) (20)
ITCamp 2013 - Florin Coros - Driving Your Team Towards Code Quality
ITCamp 2013 - Florin Coros - Driving Your Team Towards Code Quality
Technical Debt for Product Managers by Square Sr PM
Technical Debt for Product Managers by Square Sr PM
What scrum masters and product owners should know about software quality and ...
What scrum masters and product owners should know about software quality and ...
54 c o m m u n i c at i o n s o f t h e a c m n o.docx
54 c o m m u n i c at i o n s o f t h e a c m n o.docx
Agile Methodologies And Extreme Programming - Svetlin Nakov
Agile Methodologies And Extreme Programming - Svetlin Nakov
Making Use of a Knowledgeable Design by Design for Manufacturing
Making Use of a Knowledgeable Design by Design for Manufacturing
Procedure of Proactively Designing Products by Design for Manufacturability (...
Procedure of Proactively Designing Products by Design for Manufacturability (...
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Recently uploaded
Dandelion Hashtable: beyond billion requests per second on a commodity server
This slide deck presents DLHT, a concurrent in-memory hashtable. Despite efforts to optimize hashtables, that go as far as sacrificing core functionality, state-of-the-art designs still incur multiple memory accesses per request and block request processing in three cases. First, most hashtables block while waiting for data to be retrieved from memory. Second, open-addressing designs, which represent the current state-of-the-art, either cannot free index slots on deletes or must block all requests to do so. Third, index resizes block every request until all objects are copied to the new index. Defying folklore wisdom, DLHT forgoes open-addressing and adopts a fully-featured and memory-aware closed-addressing design based on bounded cache-line-chaining. This design offers lock-free index operations and deletes that free slots instantly, (2) completes most requests with a single memory access, (3) utilizes software prefetching to hide memory latencies, and (4) employs a novel non-blocking and parallel resizing. In a commodity server and a memory-resident workload, DLHT surpasses 1.6B requests per second and provides 3.5x (12x) the throughput of the state-of-the-art closed-addressing (open-addressing) resizable hashtable on Gets (Deletes).
Mutation Testing for Task-Oriented Chatbots
Conversational agents, or chatbots, are increasingly used to access all sorts of services using natural language. While open-domain chatbots - like ChatGPT - can converse on any topic, task-oriented chatbots - the focus of this paper - are designed for specific tasks, like booking a flight, obtaining customer support, or setting an appointment. Like any other software, task-oriented chatbots need to be properly tested, usually by defining and executing test scenarios (i.e., sequences of user-chatbot interactions). However, there is currently a lack of methods to quantify the completeness and strength of such test scenarios, which can lead to low-quality tests, and hence to buggy chatbots.
To fill this gap, we propose adapting mutation testing (MuT) for task-oriented chatbots. To this end, we introduce a set of mutation operators that emulate faults in chatbot designs, an architecture that enables MuT on chatbots built using heterogeneous technologies, and a practical realisation as an Eclipse plugin. Moreover, we evaluate the applicability, effectiveness and efficiency of our approach on open-source chatbots, with promising results.
Leveraging the Graph for Clinical Trials and Standards
Katja Glaß
OpenStudyBuilder Community Manager - Katja Glaß Consulting
Marius Conjeaud
Principal Consultant - Neo4j
Monitoring and Managing Anomaly Detection on OpenShift.pdf
Monitoring and Managing Anomaly Detection on OpenShift
Overview
Dive into the world of anomaly detection on edge devices with our comprehensive hands-on tutorial. This SlideShare presentation will guide you through the entire process, from data collection and model training to edge deployment and real-time monitoring. Perfect for those looking to implement robust anomaly detection systems on resource-constrained IoT/edge devices.
Key Topics Covered
1. Introduction to Anomaly Detection
- Understand the fundamentals of anomaly detection and its importance in identifying unusual behavior or failures in systems.
2. Understanding Edge (IoT)
- Learn about edge computing and IoT, and how they enable real-time data processing and decision-making at the source.
3. What is ArgoCD?
- Discover ArgoCD, a declarative, GitOps continuous delivery tool for Kubernetes, and its role in deploying applications on edge devices.
4. Deployment Using ArgoCD for Edge Devices
- Step-by-step guide on deploying anomaly detection models on edge devices using ArgoCD.
5. Introduction to Apache Kafka and S3
- Explore Apache Kafka for real-time data streaming and Amazon S3 for scalable storage solutions.
6. Viewing Kafka Messages in the Data Lake
- Learn how to view and analyze Kafka messages stored in a data lake for better insights.
7. What is Prometheus?
- Get to know Prometheus, an open-source monitoring and alerting toolkit, and its application in monitoring edge devices.
8. Monitoring Application Metrics with Prometheus
- Detailed instructions on setting up Prometheus to monitor the performance and health of your anomaly detection system.
9. What is Camel K?
- Introduction to Camel K, a lightweight integration framework built on Apache Camel, designed for Kubernetes.
10. Configuring Camel K Integrations for Data Pipelines
- Learn how to configure Camel K for seamless data pipeline integrations in your anomaly detection workflow.
11. What is a Jupyter Notebook?
- Overview of Jupyter Notebooks, an open-source web application for creating and sharing documents with live code, equations, visualizations, and narrative text.
12. Jupyter Notebooks with Code Examples
- Hands-on examples and code snippets in Jupyter Notebooks to help you implement and test anomaly detection models.
zkStudyClub - LatticeFold: A Lattice-based Folding Scheme and its Application...
Folding is a recent technique for building efficient recursive SNARKs. Several elegant folding protocols have been proposed, such as Nova, Supernova, Hypernova, Protostar, and others. However, all of them rely on an additively homomorphic commitment scheme based on discrete log, and are therefore not post-quantum secure. In this work we present LatticeFold, the first lattice-based folding protocol based on the Module SIS problem. This folding protocol naturally leads to an efficient recursive lattice-based SNARK and an efficient PCD scheme. LatticeFold supports folding low-degree relations, such as R1CS, as well as high-degree relations, such as CCS. The key challenge is to construct a secure folding protocol that works with the Ajtai commitment scheme. The difficulty, is ensuring that extracted witnesses are low norm through many rounds of folding. We present a novel technique using the sumcheck protocol to ensure that extracted witnesses are always low norm no matter how many rounds of folding are used. Our evaluation of the final proof system suggests that it is as performant as Hypernova, while providing post-quantum security.
Paper Link: https://eprint.iacr.org/2024/257
The Microsoft 365 Migration Tutorial For Beginner.pptx
This presentation will help you understand the power of Microsoft 365. However, we have mentioned every productivity app included in Office 365. Additionally, we have suggested the migration situation related to Office 365 and how we can help you.
You can also read: https://www.systoolsgroup.com/updates/office-365-tenant-to-tenant-migration-step-by-step-complete-guide/
Driving Business Innovation: Latest Generative AI Advancements & Success Story
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
Main news related to the CCS TSI 2023 (2023/1695)
An English 🇬🇧 translation of a presentation to the speech I gave about the main changes brought by CCS TSI 2023 at the biggest Czech conference on Communications and signalling systems on Railways, which was held in Clarion Hotel Olomouc from 7th to 9th November 2023 (konferenceszt.cz). Attended by around 500 participants and 200 on-line followers.
The original Czech 🇨🇿 version of the presentation can be found here: https://www.slideshare.net/slideshow/hlavni-novinky-souvisejici-s-ccs-tsi-2023-2023-1695/269688092 .
The videorecording (in Czech) from the presentation is available here: https://youtu.be/WzjJWm4IyPk?si=SImb06tuXGb30BEH .
“Temporal Event Neural Networks: A More Efficient Alternative to the Transfor...
“Temporal Event Neural Networks: A More Efficient Alternative to the Transfor...Edge AI and Vision Alliance
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/temporal-event-neural-networks-a-more-efficient-alternative-to-the-transformer-a-presentation-from-brainchip/
Chris Jones, Director of Product Management at BrainChip , presents the “Temporal Event Neural Networks: A More Efficient Alternative to the Transformer” tutorial at the May 2024 Embedded Vision Summit.
The expansion of AI services necessitates enhanced computational capabilities on edge devices. Temporal Event Neural Networks (TENNs), developed by BrainChip, represent a novel and highly efficient state-space network. TENNs demonstrate exceptional proficiency in handling multi-dimensional streaming data, facilitating advancements in object detection, action recognition, speech enhancement and language model/sequence generation. Through the utilization of polynomial-based continuous convolutions, TENNs streamline models, expedite training processes and significantly diminish memory requirements, achieving notable reductions of up to 50x in parameters and 5,000x in energy consumption compared to prevailing methodologies like transformers.
Integration with BrainChip’s Akida neuromorphic hardware IP further enhances TENNs’ capabilities, enabling the realization of highly capable, portable and passively cooled edge devices. This presentation delves into the technical innovations underlying TENNs, presents real-world benchmarks, and elucidates how this cutting-edge approach is positioned to revolutionize edge AI across diverse applications.JavaLand 2024: Application Development Green Masterplan
My presentation slides I used at JavaLand 2024
Apps Break Data
How information systems are built or acquired puts information, which is what they should be about, in a secondary place. Our language adapted accordingly, and we no longer talk about information systems but applications. Applications evolved in a way to break data into diverse fragments, tightly coupled with applications and expensive to integrate. The result is technical debt, which is re-paid by taking even bigger "loans", resulting in an ever-increasing technical debt. Software engineering and procurement practices work in sync with market forces to maintain this trend. This talk demonstrates how natural this situation is. The question is: can something be done to reverse the trend?
"Frontline Battles with DDoS: Best practices and Lessons Learned", Igor Ivaniuk
At this talk we will discuss DDoS protection tools and best practices, discuss network architectures and what AWS has to offer. Also, we will look into one of the largest DDoS attacks on Ukrainian infrastructure that happened in February 2022. We'll see, what techniques helped to keep the web resources available for Ukrainians and how AWS improved DDoS protection for all customers based on Ukraine experience
Freshworks Rethinks NoSQL for Rapid Scaling & Cost-Efficiency
Freshworks creates AI-boosted business software that helps employees work more efficiently and effectively. Managing data across multiple RDBMS and NoSQL databases was already a challenge at their current scale. To prepare for 10X growth, they knew it was time to rethink their database strategy. Learn how they architected a solution that would simplify scaling while keeping costs under control.
"Choosing proper type of scaling", Olena Syrota
Imagine an IoT processing system that is already quite mature and production-ready and for which client coverage is growing and scaling and performance aspects are life and death questions. The system has Redis, MongoDB, and stream processing based on ksqldb. In this talk, firstly, we will analyze scaling approaches and then select the proper ones for our system.
[OReilly Superstream] Occupy the Space: A grassroots guide to engineering (an...
The typical problem in product engineering is not bad strategy, so much as “no strategy”. This leads to confusion, lack of motivation, and incoherent action. The next time you look for a strategy and find an empty space, instead of waiting for it to be filled, I will show you how to fill it in yourself. If you’re wrong, it forces a correction. If you’re right, it helps create focus. I’ll share how I’ve approached this in the past, both what works and lessons for what didn’t work so well.
Taking AI to the Next Level in Manufacturing.pdf
Read Taking AI to the Next Level in Manufacturing to gain insights on AI adoption in the manufacturing industry, such as:
1. How quickly AI is being implemented in manufacturing.
2. Which barriers stand in the way of AI adoption.
3. How data quality and governance form the backbone of AI.
4. Organizational processes and structures that may inhibit effective AI adoption.
6. Ideas and approaches to help build your organization's AI strategy.
HCL Notes and Domino License Cost Reduction in the World of DLAU
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-and-domino-license-cost-reduction-in-the-world-of-dlau/
The introduction of DLAU and the CCB & CCX licensing model caused quite a stir in the HCL community. As a Notes and Domino customer, you may have faced challenges with unexpected user counts and license costs. You probably have questions on how this new licensing approach works and how to benefit from it. Most importantly, you likely have budget constraints and want to save money where possible. Don’t worry, we can help with all of this!
We’ll show you how to fix common misconfigurations that cause higher-than-expected user counts, and how to identify accounts which you can deactivate to save money. There are also frequent patterns that can cause unnecessary cost, like using a person document instead of a mail-in for shared mailboxes. We’ll provide examples and solutions for those as well. And naturally we’ll explain the new licensing model.
Join HCL Ambassador Marc Thomas in this webinar with a special guest appearance from Franz Walder. It will give you the tools and know-how to stay on top of what is going on with Domino licensing. You will be able lower your cost through an optimized configuration and keep it low going forward.
These topics will be covered
- Reducing license cost by finding and fixing misconfigurations and superfluous accounts
- How do CCB and CCX licenses really work?
- Understanding the DLAU tool and how to best utilize it
- Tips for common problem areas, like team mailboxes, functional/test users, etc
- Practical examples and best practices to implement right away
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdf
A Mix Chart displays historical data of numbers in a graphical or tabular form. The Kalyan Rajdhani Mix Chart specifically shows the results of a sequence of numbers over different periods.
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Dandelion Hashtable: beyond billion requests per second on a commodity server
Dandelion Hashtable: beyond billion requests per second on a commodity server
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Monitoring and Managing Anomaly Detection on OpenShift.pdf
zkStudyClub - LatticeFold: A Lattice-based Folding Scheme and its Application...
zkStudyClub - LatticeFold: A Lattice-based Folding Scheme and its Application...
Overcoming the PLG Trap: Lessons from Canva's Head of Sales & Head of EMEA Da...
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The Microsoft 365 Migration Tutorial For Beginner.pptx
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“Temporal Event Neural Networks: A More Efficient Alternative to the Transfor...
JavaLand 2024: Application Development Green Masterplan
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"Frontline Battles with DDoS: Best practices and Lessons Learned", Igor Ivaniuk
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Freshworks Rethinks NoSQL for Rapid Scaling & Cost-Efficiency
Freshworks Rethinks NoSQL for Rapid Scaling & Cost-Efficiency
[OReilly Superstream] Occupy the Space: A grassroots guide to engineering (an...
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HCL Notes and Domino License Cost Reduction in the World of DLAU
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdf
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdf
Technical Debt (Dan Nicola, Florin Cardasim)
- 1. Dan Nicola | Maxcode Florin Cardasim | Endava
- 2. Premium community conference on Microsoft technologies itcampro@ itcamp14# Huge thanks to our sponsors & partners!
- 6. Code Debt Architectural Debt Test Debt Knowledge Debt Technological Debt
- 13. Customers are annoyed by bugs or missing features due to low productivity.
- 14. This leads to additional costs for the helpdesk, which annoys the people there, too.
- 15. Increased development time and quality issues are also a problem for marketing.
- 16. Bugs lead to frequent patches, which annoys the operations team.
- 17. Many annoyed parties definitely don’t make the management happy.
- 18. Last but not least also the developers are suffering. No one wants to deliver bad work.
- 20. “the only one who can ever change this code is Claudiu” “let’s just copy & paste this code” “it’s ok for now but we’ll refactor it later!” “if I touch that code everything will break” “ToDo/FixMe: this should be fixed before release” “let’s finish the testing in the next release”
- 36. Cover it with tests and then modify it Making it extensible and then extend it Make it modular and then rewrite it
- 43. e.g. 10% of the available time
- 44. Some teams do a purely technical release to improve the codebase from time to time This approach is only useful if a list with the really necessary refactoring already exists
- 46. Established best practice to define purely technical work packages Technical change to be made Why this technical change is important for the project In which part of the code the technical change has to be performed
- 48. Debt repayment Debt conversion Just pay the interest
- 49. Technical Debt is unavoidable Technical Debt is not always bad, no need to be (fully) repaid in every case We’ve got tools (Sonar, inCode, many others) Technical Debt is often a cultural issue, not a technical one
- 50. Please fill in the evaluation forms