Devops for Growth
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Comment realiser la charte projet

Comment realiser la charte projet | Devops for Growth |
Comment réaliser la charte projet - Préparation PMP - Gestion de projet
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Devops for Growth
For Product Owners/Product Managers and Scrum Teams: Growth Hacking, Devops, Agile, Lean for IT, Lean Startup, customer centric, software quality...
Curated by Mickael Ruau
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No Plan Survives First Contact With Customers – Business Plans versus Business Models

No Plan Survives First Contact With Customers – Business Plans versus Business Models | Devops for Growth |
No campaign plan survives first contact with the enemy Field Marshall Helmuth Graf von Moltke I was catching up with an ex-graduate student at Café Borrone, my favorite coffee place in Menlo Park. This was the second of three “office hours” I was holding that morning for ex students. He and his co-founder were both…
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The Lean Startup Framework: Closing the Academic–Practitioner Divide - Dean A. Shepherd, Marc Gruber, 2021

The Lean Startup Framework: Closing the Academic–Practitioner Divide - Dean A. Shepherd, Marc Gruber, 2021 | Devops for Growth |
The lean startup framework is one of the most popular contributions in the practitioner-oriented entrepreneurship literature. This study seeks to generate new insights into how new ventures ar
Via Oliver Durrer
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Micro-SaaS Ebook: Retention & Support

Micro-SaaS Ebook: Retention & Support | Devops for Growth |

It can be challenging to balance providing great support to existing customers with further developing the product to attract new customers. If you did a minimum viable product (MVP) launch correctly, your product currently lacks a ton of features and has more than a few bugs. You will be getting a lot of bug reports and feature requests (and occaissional feature demands) from customers who are at times frustrated and confused. If you launched really well, the backlog will be much more than you can reasonably handle.

Navigating support as a solo founder can be a minefield and it’s important to have a strategy before frantically wading into the queue of emails and tickets.
The Guiding Principle: Every support ticket is an opportunity

But there’s hope. It’s too easy to view support tickets in a negative light. It’s a long task list that you need to check off before getting back to work on product. It’s a stream of grumpy users who can’t even read the dang instructions you so clearly wrote out inside the app.

But this is completely the wrong mentality because the reality is that every support ticket is a massive opportunity. Your worst customer is not the one sending you a support email every day for two weeks, your worst customer is the one who signs up for your app, then cancels without ever giving you a word of feedback. Customers who take the time and energy to write you a support email have now taken a vested interest in getting your app to work for them. It’s important to listen to them, ask follow-up questions and not just view the goal as getting the customer from A to B as quickly as possible.
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Early Adopter Definition

Early Adopter Definition | Devops for Growth |

What Is the Early Adopter Tax?

The early adopter tax refers to the premium that early adopters pay for new technology as new tech always costs more upon release. In addition to the cost, the early adopter tax includes the bugs and defects in new technology that have not yet been ironed out, as well as missing out on the new features that are included in successive iterations.


How Do You Market to Early Adopters?

The best ways to market to early adopters include understanding what they need, meeting them in person, providing them with a product they can use right away, targeting specific individuals and companies, addressing an existing alternative, and telling a story.


What Percentage of People Are Early Adopters?

Approximately 13.5% of people are early adopters.2


Mickael Ruau's insight:

The term "early adopter" comes from a book by Everett M. Rogers, titled, Diffusion of Innovations (1962) in which he discusses five types of adopter stages for products. The five types are (1) innovator, (2) early adopter, (3) early majority, (4) late majority, and (5) laggard.1


Advantages and Disadvantages of Being an Early Adopter

Early adopters of hardware that is content-reliant may face a lack of ways they can use their equipment until producers catch up. For example, early adopters of recorded media players may have only had a shortlist of titles they could choose from when the hardware was first released from manufacturers. The expectation is that over time, more content would become available for the chosen media format, but there is no guarantee.


For instance, after the introduction of high-definition television, early adopters waited for television broadcasters to supply more and more of their shows in the new format that took advantage of the higher visual clarity. When it came to high-definition home video playback, a format war arose between manufacturers of Blu-ray and HD DVD players. Early adopters of either disc player were anticipating their format would eventually win out as the high-definition video disc of choice for the market.


In those early years, entertainment companies released movies and the video content might have been published on either one of the formats. This left early adopters with limited options on the content their disc players could access. Only rarely did content get published by entertainment companies for both standards. Eventually, the Blu-Ray platform became universally adopted for high definition video discs, leaving early adopters of HD DVD players with unsupported equipment that would have to be replaced.


Early adopters may enjoy a period of prestige by being the first to own a new form of technology, yet they also face the high probability that the equipment or service they are using will be made obsolete in future iterations of the product. In addition, the price they pay to be an early adopter is high as the technology is new. This also results in a loss of value as successive iterations will be more advanced. As a result, early adopters experience more defects in new technology that hasn't been fully tested.


As early adopters are the first to use a product they can provide feedback to the manufacturer about where the product can be improved, thereby having some influence on the technology. This unique position can also lead them to be a thought leader on the new tech as they are one of the few people who know how the technology works. If they position this right, it can lead to competitive advantages.

  • Prestige

  • Some influence on developing the technology

  • Gaining a competitive advantage

  • Becoming a thought leader on the tech

  • Limitations in applicability

  • Risk of utilizing soon to be obsolete product

  • High price for new technology

  • Loss of value

  • Higher risk of defects

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The 5 Pillars of the AWS Well-Architected Framework | AWS Partner Network (APN) Blog

The 5 Pillars of the AWS Well-Architected Framework | AWS Partner Network (APN) Blog | Devops for Growth |

The AWS Well-Architected Framework helps cloud architects build the most secure, high-performing, resilient, and efficient infrastructure possible for their applications. The framework provides a consistent approach for customers and AWS Partner Network (APN) Partners to evaluate architectures, and provides guidance to implement designs that scale with your application needs over time.

In this post, we provide an overview of the Well-Architected Framework’s five pillars and explore design principles and best practices. You can find more details—including definitions, FAQs, and resources—in each pillar’s whitepaper we link to below.

Read the full Well-Architected whitepaper >>
1. Operational Excellence
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How Adopting a Design-First Approach Helps Teams Treat APIs as Products

How Adopting a Design-First Approach Helps Teams Treat APIs as Products | Devops for Growth |
Treating APIs as products is a concept that is rapidly gaining adopting across the API space, and organizations are increasingly seeing the benefits of using product management principles when developing APIs. This approach involves applying the same level attention and planning to your API portfolio, as you would to any of the other software products your team is delivering.

This was also a popular concept at the recent Nordic API Austin API Summit. The conference featured a number of talks that touched on this topic, including: Why Productization Is the Key to Unlocking API Value from Pete Clare of Vanick Digital, and Embedding API-as-a-Product Culture from Rahul Dighe of Paypal.
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Lire Etude CIO : Mettre les données au service de la stratégie d’entreprise

Lire Etude CIO : Mettre les données au service de la stratégie d’entreprise | Devops for Growth |
La donnée n’a de valeur que si elle est exploitée. Ce qui importe réellement aux organisations, c’est l’information qui peut en être tirée pour assurer le pilotage optimal de l’activité. Pour devenir une organisation pilotée par les données, être « data driven », il faut disposer d’indicateurs pertinents à tous les niveaux, depuis l’exécutif jusqu’aux opérationnels sur le terrain. Et donc aller chercher les données partout où elles se trouvent, y compris à partir de capteurs (IoT). Mais ce n’est là qu’une première étape. Les données doivent être fiables et arriver au bon moment, suffisamment complètes mais aussi rapidement disponibles. Au-delà du pilotage quotidien ou stratégique, l’information est aussi nécessaire pour piloter les risques susceptibles de frapper l’organisation. Il faut comprendre ce risque, le mesurer puis prendre les décisions pertinentes pour l’assumer ou le contrecarrer. La donnée elle-même peut d’ailleurs être un facteur de risque si son existence, sa conservation ou les risques pesant sur elle ne sont pas conformes aux réglementations en vigueur, notamment le RGPD.
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Finding Early Adopters: The Mechanical Pencil Challenge

Entrepreneurship activities to find early adopters are central to any entrepreneurship curriculum. This exercise demonstrates where and how to find a business model’s Early Adopters
Mickael Ruau's insight:

Entrepreneurship students often struggle getting their first customers interviews because they lack a functional definition of Early Adopters.

This exercise uses mechanical pencils, and a 10-minute competition between students, to introduce Early Adopters in a way that not only contrasts them with Early Majority and Late Majority customers, but also demonstrates where and how to find a business model’s Early Adopters.

We are very proud that this exercise was a finalist in the prestigious USASBE 3E Competition, which recognizes the best experiential entrepreneurship exercises at the USASBE 2019 Conference!

The key questions this lesson plan answers are:

  1. Who is the target for our customer interviews?
  2. How and where do we find people for our customer interviews?
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Créer des plans de tests de charge réalistes-

Créer des plans de tests de charge réalistes- | Devops for Growth |
Faire des tests de charge réalistes n'est pas forcément évident pour de nombreuses raisons. Mais l'effort en vaut la peine, car cela peut fausser les résultats s'ils ne sont pas réalistes. Dans cet article, nous verrons comment réaliser des tests de charges et comment éviter certains pièges.
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Comprendre les différents design patterns de construction

Comprendre les différents design patterns de construction | Devops for Growth |
Comprendre les différents design patterns de construction
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Le benchmark de votre organisation sur ses pratiques DevOps avec DORA ! –

Le benchmark de votre organisation sur ses pratiques DevOps avec DORA ! – | Devops for Growth |
Nombre de nos clients ont engagé ou envisagent une transformation DevOps. Comme nous l’avons vu dans notre article précédent (DevOps en 2017: les vrais enjeux et bénéfices), le DevOps est un véritable enjeu de transformation pour la compétitivité des entreprises : réduction du time to market, amélioration de la qualité de service, prise en compte du feedback…
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Comment Diffuser Des Pratiques Techniques Comme Le TDD Dans Une Organisation

Comment Diffuser Des Pratiques Techniques Comme Le TDD Dans Une Organisation | Devops for Growth |
Points Clés

Le coaching technique consiste à aider les développeurs à changer leurs habitudes quotidiennes et leurs méthodes de travail pour prendre en charge Agile et DevOps.
Peu d'organisations réussissent à adopter le TDD. Les développeurs ont généralement besoin d'aide pour passer des exercices pratiques TDD à une base de code de production à grande échelle.
Ensemble travailler avec un praticien expérimenté est efficace pour apprendre le TDD, en particulier en combinaison avec des sessions de formation pratiques régulières.
« Samman » est une approche du coaching technique. Il comporte deux parties principales : les heures de travail et d'apprentissage de l'ensemble.
Il y a trop peu de coachs techniques ; une méthode concrète comme Samman peut aider les développeurs à commencer à coacher.

L'un des facteurs de succès pour Agile et DevOps est que les développeurs changent leur façon de travailler et adoptent des pratiques telles que le développement piloté par les tests (TDD). Ce n'est pas quelque chose qui se produit tout seul, et bon nombre des manières « habituelles » d'introduire le changement échouent pour TDD. Dans cet article, je décrirai certaines des choses que j'ai essayées qui fonctionnent réellement. Je vais vous expliquer « Samman », qui est la méthode de coaching que j'utilise avec les développeurs.
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Malika Mir, DSI du groupe Bel : « 70% des projets actuels ont démarré avec le design thinking. »

Malika Mir, DSI du groupe Bel : « 70% des projets actuels ont démarré avec le design thinking. » | Devops for Growth |
Malika Mir, DSI du groupe agroalimentaire Bel, revient sur la transformation de la DSI grâce au design thinking, sur ses enjeux data et green tech.
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Est-ce qu’on met un site en production aujourd’hui ?

Est-ce qu’on met un site en production aujourd’hui ? | Devops for Growth |
LE site qui vous indique si aujourd’hui est un bon jour pour la mise en production de votre site, certifiée par de nombreuses agences web.
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Customer Discovery For (Lean) Startups | GoFounder Library

Customer Discovery For (Lean) Startups | GoFounder Library | Devops for Growth |
Finding out who your customers are and what they need is an important step for building a strong startup and launching a successful business.
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A curated list of customer development resources (40+) � [updated: Oct 2020] | by Bas Wenneker

A curated list of customer development resources (40+) � [updated: Oct 2020] | by Bas Wenneker | Devops for Growth |
Customer development. I love it. Finding out what works and what not is super important and often overlooked by entrepreneurs who what to ship asap. I too want to ship asap, but I also want to ship…
Mickael Ruau's insight:

Once, I was the guy who thought ‘if I build this, they will come’. And of course, they didn’t. Don’t make the same mistake, read this.

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How We Build Micro Frontends. Building micro-frontends to speed up… | by Jonathan Saring | Bits and Pieces

How We Build Micro Frontends. Building micro-frontends to speed up… | by Jonathan Saring | Bits and Pieces | Devops for Growth |
At Bit, we build tools for over 100,000 developers working with components. Our tools help developers build, reuse, and collaborate on independent components to speed up development and improve…
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2021: Low code serverless functions with WebAssembly-powered DSLs

2021: Low code serverless functions with WebAssembly-powered DSLs | Devops for Growth |
Serverless functions are the "A" in JAMstack. However, traditional serverless functions from public clouds have poor performance, limited language and framework selections, and are generally not well suited for complex tasks such as AI inference. In this talk, we will present a new type of serverless functions, based on WebAssembly, that supports Domain Specific Languages (DSLs) specifically designed for application tasks. The WebAssembly functions are low code, very fast, and can be deployed on edge network nodes.
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Dix raisons pour échouer ses tests unitaires

Dix raisons pour échouer ses tests unitaires | Devops for Growth |
Faire des tests unitaires dans ses développements fait aujourd'hui partie des pratiques courantes, en particulier depuis l'avènement d'eXtreme Programming et des développements agiles… Et pourtant, malgré la maturité de l'outillage dont on dispose aujourd'hui (Junit, TestNG, Mockito, JMockit…), qui ne s'est jamais retrouvé confronté en arrivant sur un projet legacy à la fameuse ritournelle : « Les TU ? On les a désactivés, on n'arrivait plus à les faire marcher ! » ? Alors, pas si faciles les tests unitaires ? Écrire des TU est une chose, les pérenniser en est une autre… Voici 10 anti_pratiques à ne pas suivre, tirées d'expériences réelles, qui pourraient précipiter vos tests unitaires dans les oubliettes…
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Agile Coaches, Agile Guides and Other Family Members

Agile Coaches, Agile Guides and Other Family Members | Devops for Growth |

When one is journeying into the unknown, plans have limited value simply because one doesn't know. The bigger the plan, and the more superficially complete the plan, the greater the challenges when innovating.

But why spend time on planning when you could get yourself a guide? Someone who has been over the same, or similar, territory before and can help you navigate the obstacles?

In truth many teams do secure the services of a guide. These people go by the name Agile Coach. However, even as the Agile Coach has become an accepted role in development teams a number of problems have built up with the role.
Conflicts in coaching

Question: should an Agile Coach present solutions?

When in the role as an Agile Coach I have spent days agonising when the organization and team expect me, their Agile Coach, to fix things. But I know, as a coach, I should help them find their own solution. Is it right for me to hold back my knowledge? Am I best serving my client by not doing what they expect me to do?

Question: When a team are content with their way of working, should an Agile Coach initiate change?

The biggest conflict in agile coaching is between the way organisations often view the coach role and the way coaches themselves see their role. Companies frequently see the coach as a change bringer, but coaches usually see their role as an enabler. In coaching terms this the difference between directive and non-directive coaching.

Many agile coaches take their lead from the earlier field of business coaching. Authors like John Whitmore and Myles Downey have long advocated a non-directive style of coaching where the coach helps the individuals resolve their own problems. Whitmore writes:

"Coaching is a management behaviour that lies at the opposite end of the spectrum to command and control. ... A skillful coach rarely provides or prescribes solutions." Coaching for Performance, Whitmore, 1992

In their work coaches often utilize the Socratic method to help coachees unlock problems and decide actions. Unfortunately, asking lots of questions, and not providing solutions, is usually not what companies expect from their coaches.
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Getting Real: The smarter, faster, easier way to build a successful web application | Basecamp

A must-read for anyone building web apps, packed with keep-it-simple insights, contrarian points of view, and unconventional approaches to software design.
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Comprendre le patron de conception Circuit breaker

Comprendre le patron de conception Circuit breaker | Devops for Growth |
L'évolution des besoins (réductions des coûts et du time to market, concept d'ATAWAD (AnyTime, AnyWhere, AnyDevice)…) a mis en avant certaines architectures (architecture applicative cloud ready, architecture microservices, architecture distribuée…).

Cela a engendré de nouvelles problématiques, en particulier l'augmentation du nombre de dépendances et donc potentiellement soumises à la latence du réseau.

C'est à ce moment qu'apparaissent à nouveau les Illusions de l'informatique distribuée :

Le réseau est fiable.
Le temps de latence est nul.
La bande passante est infinie.
Le réseau est sûr.
La topologie du réseau ne change pas.
Il y a un et un seul administrateur réseau.
Le coût de transport est nul.
Le réseau est homogène.

Et ces illusions ne prennent pas en compte la partie dépendance et son lot de problèmes (crash, temps de réponse lent, réponse non conforme…).

Pour répondre à ces défis, la philosophie de design for failure (les traitements applicatifs doivent, dès leur conception, prévoir le cas où les composants qu'ils appellent pourraient tomber en erreur) a pris encore plus d'importance.

Et donc nous sommes passés de : « prévenir toutes les défaillances » à : « les défaillances font partie du jeu ».

Parmi toutes les solutions composant le design for failure, nous allons nous pencher sur le patron de conception (design pattern) « Circuit Breaker » popularisé par Michael Nygard dans le livre « Release It! ».

Mais avant cela, faisons un tour rapide sur d'autres solutions permettant de gérer des problèmes de dépendances.
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Compositions et héritage.

Compositions et héritage. | Devops for Growth |

Il est donc très important de prendre le temps de réfléchir à la signification de la relation que vous rédigez chaque fois que vous héritez une classe. La composition est une solution parfaite dans la plupart des situations. En utilisant la composition, vous définissez une relation que possède un objet. Cette technique, qui est aussi une des notions de base de la programmation orientée objet, est souvent associée aux interfaces. La composition se retrouve en outre dans plusieurs design patterns comme le composite, le delegate ou le decorator
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leçons d’une professionnelle du redressement de projets –

leçons d’une professionnelle du redressement de projets – | Devops for Growth |
Reprendre un projet en difficulté pour le remettre sur les rails demande des compétences et un comportement spécifique du chef de projet. Aussi, cet article m'a-t-il particulièrement intéressé. Bien des conseils reprennent les bases de tout bon management de projet mais avec une attention particulière sur certains éléments prépondérants dans ce contexte difficile.
Mickael Ruau's insight:


La seconde leçon est de ne pas dénigrer le précédent chef de projet. Vous faites face à plusieurs pièges si vous vous engagez dans la diffamation du chef de projet précédent. On ne sait jamais qui dans l’équipe peut être leur ami et peut répéter vos déclarations à l’ancien chef de projet. Certaines de ces déclarations peuvent être vraies, d’autres peuvent seulement être votre opinion et certaines peuvent s’avérer ne pas être vraies. Vous ne connaissez pas tous les problèmes auxquels s’est confronté le précédent chef de projet. Tout que vous avez sont vos impressions et observations, toutes deux vues par vos yeux et non pas les leurs au moment où ils les exécutaient.

De plus, critiquer le chef de projet précédent devant ses pairs peut vous couper d’un précieux réseau. Vous pouvez avoir besoin des autres chefs de projet dans l’organisation pour tester vos idées, questionner la signification et la mise en œuvre de procédures internes, découvrir comment supprimer des points de blocage connus et autres sujets. Beaucoup de ces chefs de projet peuvent vivre dans la crainte d’être les prochains éliminés s’ils trébuchent sur leurs projets.

Oh et n’oubliez pas que la personne qui est votre manager peut avoir été le manager du précédent chef de projet. Il peut même l’avoir embauché. Critiquer le chef de projet précédent peut mettre en doute leur bon jugement.

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Code Quality Metrics - DZone Performance

Code Quality Metrics - DZone Performance | Devops for Growth |

Code Quality Metrics: The Business Impact

The most effective Code Quality Metrics are those that help to track down the present flaws and ambiguities. The basic types of metrics for quality evaluation are:

Qualitative metrics
Quantitative metrics

Not amazingly, the qualitative estimations are more intuitive; quantitative options provide you with precise numbers to decide on the viability of your written crypto piece. So the qualitative techniques aid in categorizing the code as acceptable or rejectable, while the quantitative ones call for employing a formula as well as enter certain algorithms that exact the quality in terms of the levels of complexity.

The goal of every project is to generate an understandable and easily changeable codebase. Understandable writing is no less complex while staying appropriately formatted and documented. A changeable one, on the other hand, can be easily extended in the future. Therefore to grab an idea of the current levels of each of the quality issues leads to better results. In this case, the metrics of quality play a vital role in current evaluations and provide a track for further amendments.

Employing these techniques to excel in the performance of code directly impacts the profitability of the business. Achieving high-quality standards ultimately increases the ROI of the software. Consider it as a matter of choosing between investing excess time as well as resources initially or wasting the same later in fixing issues.
Qualitative Code Quality Metrics
1. Efficiency Metrics

The efficiency of a code is measured by the number of assets that are consumed to build a code. Time is taken to run the code also counts in the efficiency of the code. Ultimately a code that is efficient should come up to the requirements and specifications of the owner.
2. Extensibility Metrics

Software ought to be developed using changeable and extendable code. It should be extended for newer versions of the original program when incorporating advanced features without disturbing the overall program and software functions. Higher extensibility results in viability in code.
3. Well-documented

While documenting software, the programmer explains every single method and component along with the logic behind the various programming alternatives used. Reviewing such codes and assessing them gets less hectic than for those not properly listed. No doubt, the documentation part of the game plays a very important role in its quality assessment. It ensures that the program is readable as well as more maintainable for anyone who deals with it at any time. An undocumented code proves to be incomprehensible even by its developer sometimes.
4. Maintainability

The degree of ease in incorporating the alterations later on together with the prospects of malfunctioning of the whole application while making revisions counts for the maintainability characteristic.

The number of lines of the code within the application provides the figure to evaluate the maintainability. Less maintainability is inferred when these lines are more than the average number. Moreover, it's pretty obvious while we attempt to make alterations. The more the process is within the expected time frame; the higher is the level of maintainability.
5. Clarity:

A clear code is normally graded as the appreciated one. Most of the time, a single task of developing a code passes through various hands. Therefore, it must be understandable and comprehensible so that different engineers can easily read as well as work on it in various phases of development.
6. Readability and Code Formatting

Readability is more when your code is communicating what it ought to be. It uses the correct formatting, marks, and indentations. When the code is well oriented with the formatting requirements of the particular coding language, it's more logical and understandable and we say that it's more readable.
7. Testability Metrics

Programs higher on the testing metrics always result in better decision-making for future improvements by delivering exact information regarding future successful testing. High testability thus increases the efficiency of code by making the software working more reliable.
Quantitative Code Quality Metrics
1. Weighted Micro Function Points

One of the quantitative measures to use is WMFP. Just like scientific methods, WMFP, a sizing model that estimates employing mechanized measurements of a present original code by fragmenting it to smaller parts and generating numerous metrics displaying various levels of complexity. The findings are then tabulated into a numeric figure representing the rating. The result contains not only the mathematical computations but also the path of control, comments as well as code structures.
Weighted Micro Function Points Calculation.
2. Halstead Complexity Measures

Complexity accounts for the factors that contain several interrelated forming intricate code designs. This makes reading a code too difficult. Various parameters aid in finding out the readability and maintainability difficulties. The most famous one is Halstead's metrics.
Halstead complexity measures.

Halstead's metrics use indicators like the number of operators as well as operands to find out the complexity of the code in terms of errors, difficulty, efforts, size, vocabulary, and testing time. It views software as an execution of an algorithm with multiple symbols representing the operands or operators. The software is thus, a chronology of operators along with its linked operands that together provide the complexity estimate.
Halstead complexity measures example.
3. Cyclomatic Complexity

When joined with any size metric for example how many lines are there, this technique provides the marker of the testability and maintainability of the code. It employs decision-making parts within the program like switch-case, do-while, if-else to derive a graph.

It considers the underlying intricacy of the software by tallying the quantity of straightly autonomous lines across the program's original code. If the Cyclomatic finding is above 10, it means the quality needs to be corrected.
Cyclomatic complexity.
Mickael Ruau's insight:

Which Code Quality Metrics to Use

Ultimately, software engineers together with management need to take care of the customer's needs and want to leave no quality errors in the measures that the client cares about. Moreover, various measurements make a difference to the board, the group of engineers, and the client. The engineers need to follow certain matrices because they discover them helpful and ought to disclose them to others. Administration necessities require the calculation of certain parameters.

No doubt, you ought to have a set of the most viable Code Quality Metrics for your specific programming task. Mostly, these most common metrics help quantify the issues:

1.Defect Metrics

Flaws within your project are a rich wellspring of data to evaluate or make better the practical, primary, and interaction parts across the life cycle of your project. How many defects are found in the code and what is the density of them are what gives an insight into the problem. The density of the defects can be defined as a proportion of deformities found in the programming during a characterized time of advancement partitioned in terms of module size. The discovery rate of defects can be explained as a tally of various imperfections that are found over the long run.

Defect metrics states:

  • To successfully recognize the stage of development at which a certain defect has arisen
  • How many defect reports have been found open in an instant?
  • How much time it takes to find as well as sort out the flaws.
  • Keeping track of the density of flaws.

2. Complexity Metrics

The previously discussed Cyclomatic complexity and Halstead complexity provide an insight into the checks like maintainability. They elevate quality by reducing complexity.

Cyclomatic metrics identify the presence and number of occurrences of individual lines across the original code. Whereas Halstead complexity calculations provide data on Effort, Vocabulary, volume, Length, and Difficulty of the program.

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