Mutation Testing for Task-Oriented Chatbots

https://www.whitehat-seo.co.uk/hubspot-user-group-london Adi: Inbound partner professor with HubSpot Academy. Former consultant. Professional musician

Brushing our teeth regularly is important for oral and overall health. It removes plaque and food particles that cause cavities and gum disease. Brushing also freshens our breath. Making brushing a part of our daily routine helps promote strong teeth that last a lifetime.

This document provides guidance on designing successful chatbots and conversational AI. It discusses important considerations for understanding users, defining the problem, scoping the bot, designing conversations, and measuring success. Key points covered include establishing trust, handling unknown inputs, accessibility, and the importance of testing before going live. The overall message is that good UX design principles are needed to build bots that can engage users and successfully help them.

As Facebook and other big platforms are pushing to make chat bots mainstream, we're going to explore ways in which they can be useful to businesses, their relevance in the Mobile area and whether they are just a fad or not.

A thousand people could tell me they thought I was beautiful, but it doesn’t mean anything unless it’s coming from you.

The document discusses how ChatGPT works and its limitations. It notes that ChatGPT: - Is built on top of large language models like GPT-3 and predicts the next token rather than reasoning. - Only sees text as tokens rather than words, sentences, etc. and has no memory or ability to look up facts. - Is limited by its context window size in generating responses. - Does not learn from interactions but can be steered through examples and feedback to provide more accurate responses within its capabilities. Prompt engineering is important to get the most value from ChatGPT.

This essay analyzes three main characters from the novel Catch-22 by Joseph Heller: John Yossarian, Albert Tappman, and Milo Minderbinder. Yossarian is the reluctant protagonist who constantly tries to avoid combat missions. Milo runs the mess hall and controls the camp's economy through manipulation. Tappman is a chaplain who believes that God is on his side. The essay discusses how each character represents different personality types found in war and how their interactions drive the plot.

Email Marketing Integrations Integrate your email marketing automation solution with Clever Messenger to capture leads, update contacts, delete contacts, based on chatbot behavior, and much more. The ActiveCampaign Integration

The speaker will highlight various tools and best practices to help you build your idea into a solid app, if you aren’t doing the coding yourself. The speaker will address the following issues: 1) How do you make sure that you get from your contractors what you asked for? 2) How do you manage your budget and not get stuck with a lousy build? 3) Can you do any of the work yourself if you have little or no design and development skills? 4) Where can you find the right developers and how do you properly vet them? 5) What’s the best way to communicate with your developer during the various stages of development? and more.....!

This is the presentation deck from UX Workshop held by Gunjan Sobhani and Ilker Yengin as a part of UXSEA Summit 2018 in Singapore. UXSEA Summit 2018 was held from 18th to 20th November, 2018. For more information about UXSEA Society, visit https://uxsea.org/ The copyright of this material is with those who created this presentation material. Please take permissions from the authors if you are in doubt about copyright infringement.

Conversational commerce is generally used to describe how consumers can use chat, messaging, or other natural language interfaces (i.e. voice) to interact with brands or services – an approach that was not yet possible in the one way communication approach that brands have used till now. But even in a high tech messaging environment, technology is only an enabler and a true “brand-consumer dialogue” can only be successful when providing real value to consumers. Mark will talk about what sympl has learned building the first recruiting chatbot in Europe, helping marketeers to understand when and how (not if!) they should start an interactive dialogue with their consumers.

We are close to a future in which everyone can and will program. Whether it is some Javascript, some R or an extensive spreadsheet, programming happens everywhere. What do end-users do in the wild? And what can we learn from that as programming language designers? In this talk Felienne will summarize her research on the topic of end-user testing, error finding and refactoring, as well as presenting a sneak peek into the future of her research as Delft University.

Le commerce conversationnel passe par les bots L'ordinateur s'adapte à l'utilisateur et non plus l'inverse.

2016 est l’année des bots. C’est une évidence à en juger par le flot d’articles, l’engouement des marques sur le sujet et l’arrivée de nouveaux bots chaque jour sur les applis de messaging. Mais que faut-il penser aujourd’hui de ces outils dans notre logique de service client ? Comment faire la part des choses entre buzz et réelles opportunités de renouveler l’expérience de nos utilisateurs ? Que croire des promesses d’Intelligence Artificielle qui rendront nos bots toujours plus intelligents ? Nos opérateurs ‘humains’ doivent-ils craindre aujourd’hui de perdre leur poste au profit de ces bots ? Nous vous proposons de faire un petit tour de ces questions et de découvrir comment iAdvize peut répondre à vos attentes sur ce sujet lors de ce webinar qu'Adrienne Gehannin animera le 7 février à 11H. Dans ce webinar, Adrienne Gehannin abordera les sujets suivants: Commerce Conversationnel & chatbots : LA tendance 2017 Avantages et limites des chatbots dans votre service client Bonnes pratiques pour intégrer efficacement un bot à votre site ou une appli de Messaging Chatbots dans votre service client : comment iAdvize répond à vos attentes ? Vous êtes à la recherche d'une plateforme de commerce conversationnel? Vous souhaitez intégrer un chatbot sur un de vos canaux de communication? Vous hésitez entre chatbot VS conseiller profesionnels? Vous recherchez une solution permettant l'escalade d'un chatbot vers conseiller professionnel?

the International Cricket Council (ICC) has named the ground for the 21-23 World Test Championship final played on Wednesday 21st September.

The document provides instructions for writing an anecdote in an essay. It outlines a 5-step process: 1) create an account on the site and provide login details; 2) complete an order form with instructions, sources, and deadline; 3) writers will bid on the request and the customer can choose a writer; 4) the customer receives the paper and can request revisions if needed; 5) the site promises original, high-quality content with refunds for plagiarism.

Talk I gave at the BarCamp 4 of Auckland (July 2010). I talk about lessons I have learned during my facebook years. I give tips about how to start a facebook application, how to grow and retain your user base and other various Facebook strategy tips. I hope you will find it useful.

Creating and grading exercises are recurring tasks within higher education. When these exercises are based on diagrams - like logic circuits, automata or class diagrams - we can represent them as models, and use model-driven engineering techniques for the large-scale generation of quizzes, which can be automatically graded. In this research demo, we showcase Wodel-Edu, a domain-independent tool for the generation and automated evaluation of diagram-based exercises. Wodel-Edu is built atop Wodel, an extensible tool for model mutation, and offers seven kinds of diagram exercises. It supports code generation from the exercises for the Moodle platform, the web, Android and iOS applications.

Context: Testing is essential to improve the correctness of software systems. Metamorphic testing (MT) is an approach especially suited when the system under test lacks oracles, or they are expensive to compute. However, building an MT environment for a particular domain (e.g., cloud simulation, model transformation, machine learning) requires substantial effort. Objective: Our goal is to facilitate the construction of MT environments for specific domains. Method: We propose a model-driven engineering approach to automate the construction of MT environments. Starting from a meta-model capturing the domain concepts, and a description of the domain execution environment, our approach produces an MT environment featuring comprehensive support for the MT process. This includes the definition of domain-specific metamorphic relations, their evaluation, detailed reporting of the testing results, and the automated search-based generation of follow-up test cases. Results: Our method is supported by an extensible platform for Eclipse, called Gotten. We demonstrate its effectiveness by creating an MT environment for simulation-based testing of data centres and comparing with existing tools; its suitability to conduct MT processes by replicating previous experiments; and its generality by building another MT environment for video streaming APIs. Conclusion: Gotten is the first platform targeted at reducing the development effort of domain-specific MT environments. The environments created with Gotten facilitate the specification of metamorphic relations, their evaluation, and the generation of new test cases.

Mutation testing (MT) targets the assessment of test cases by measuring their efficiency to detect faults. This technique involves modifying the program under test to emulate programming faults, and assessing whether the existing test cases detect such mutations. MT has been extensively studied since the 70's, and many tools have been proposed for widely used languages like C, Java, Fortran, Ada and SQL; and for notations like Petri-nets. However, building MT tools is costly and error-prone, which may prevent their development for new programming and domain-specific (modelling) languages. In this paper, we propose a framework called Wodel-Test to reduce the effort to create MT tools. For this purpose, it follows a model-driven approach by which MT tools are synthesized from a high-level description. This description makes use of the domain-specific language Wodel to define and execute model mutations. Wodel is language-independent, as it allows the creation of mutation operators for any language defined by a meta-model. Starting from the definition of the mutation operators, Wodel-Test generates a MT environment which parses the program under test into a model, applies the mutation operators, and evaluates the test-suite against the generated mutants, offering a rich collection of MT metrics. We report on an evaluation of the approach based on the creation of MT tools for Java and the Atlas transformation language.

Las pruebas de mutación (MT) tienen como objetivo la evaluación de los casos de prueba midiendo su eficiencia para detectar fallos. Esta técnica implica modificar los programas bajo prueba para emular fallos comunes de programación y evaluar si los casos de prueba existentes detectan dichas mutaciones. Las pruebas de mutación se han estudiado de forma exhaustiva desde 1970, y se han propuesto muchas herramientas de pruebas de mutación para lenguajes utilizados ampliamente como C, Java, Fortran, Ada y SQL, y notaciones como redes de Petri. No obstante, crear herramientas de pruebas de mutación es costoso y propenso a errores, lo que puede obstaculizar su creación para nuevos lenguajes de programación y lenguajes de dominio-específico (de modelado). En este trabajo, se propone un entorno llamado Wodel-Test que reduce el esfuerzo para crear herramientas de pruebas de mutación. Con este objetivo, se sigue un enfoque dirigido por modelos por medio del que se sintetizan las herramientas de pruebas de mutación a partir de una descripción de alto nivel. Esta descripción utiliza el lenguaje de dominio específico Wodel para definir y ejecutar las mutaciones de modelos. Wodel es independiente del dominio, es decir, permite la creación de operadores de mutación para cualquier lenguaje definido mediante un meta-modelo. Partiendo de la definición de los operadores de mutación, Wodel-Test genera un entorno de pruebas de mutación que transforma los programas bajo prueba en modelos, aplica los operadores de mutación, y evalúa el conjunto de pruebas contra los mutantes generados, proporcionando una rica colección de métricas de pruebas de mutación. En el trabajo, se proporciona una evaluación del enfoque basada en la creación de herramientas de pruebas de mutación para Java y el lenguaje de transformación de modelos ATL.

The creation and correction of exercises are two of the most time-consuming tasks performed by teachers. When done by hand, they are error-prone, too. Several approaches have been devised to automate such tasks. In the case of exercises based on diagrams, we can represent them as models, generate a set of variations - called mutants - and automate the process. In this tool demo paper, we showcase Wodel-Edu, a domain-independent framework for the generation and automated grading of diagram-based exercises. This framework offers a family of DSLs enabling the specification and configuration of five different kinds of such exercises, and extensible code generation facilities targeting environments like the Moodle platform, the web, and mobile applications.

Mutation testing (MT) is a well-known technique to evaluate and improve the quality of a given test-suite. While several MT tools exist for traditional programming languages, there is no systematic method to create MT tools for domain-specific languages (DSLs). To improve this situation, we present Wodel-Test, a domain-independent tool to synthesize MT tools for arbitrary DSLs.

Este documento describe los pasos para activar la pestaña de desarrollador en Excel y habilitar las macros, cómo usar el editor VBA para crear macros, y cómo leer y escribir datos y ejecutar macros desde una hoja de Excel. Explica cómo declarar macros, usar variables, objetos, colecciones, condicionales y bucles en VBA, y depurar macros usando breakpoints. Finalmente, propone un ejercicio para combinar dos apuestas de quiniela en una quiniela de 7 dobles y comprobar los aciertos.

Este documento describe un lenguaje de dominio específico llamado Wodel para la mutación de modelos. Wodel proporciona primitivas de alto nivel para la mutación de modelos de manera independiente del dominio, y permite la generación y validación de modelos mutantes. Wodel también incluye servicios para el desarrollo de aplicaciones basadas en la mutación de modelos, como la generación automática de ejercicios y herramientas de pruebas de mutación.

In software engineering, mutation consists in injecting small changes in artefacts - like models, programs, or data - for purposes like (mutation) testing, test data generation, and all sorts of search-based methods. These activities normally require the definition of sets of mutation operators, which are often built ad-hoc because there is currently poor support for their development and testing. To improve this situation, in previous work we proposed a model-based approach to create and execute mutation operators. Our proposal represents the artefacts to be mutated as models and provides a domain-specific language called Wodel to define the mutation operators. However, testing the operators is cumbersome, since it requires the manual creation of input seed models. To facilitate this testing process, we propose a method - based on model finding - for the automated synthesis of test models that exercise the defined mutation operators. We provide tool support for our proposal, and illustrate its usage by defining mutation operators for BPMN.

Mutation testing (MT) is a well-known technique to evaluate and improve the quality of a given test-suite. While several MT tools exist for traditional programming languages, there is no systematic method to create MT tools for domain-specific languages (DSLs). To improve this situation, we present Wodel-Test, a domain-independent tool to synthesize MT tools for arbitrary DSLs.

Mutation testing is a technique to assess test suite adequacy to distinguish between correct and incorrect programs. Mutation testing applies one or more small changes to a program to obtain variants called mutants. The adequacy of a test suite is measured by determining how many of the mutants it distinguishes from the original program. There are many works about mutation testing, but the existing approaches focus on a specific programming language, and usually, it is not easy to customize the set of mutation operators. In this paper, we present Wodel-Test, an extension of the Wodel tool that implements a language-independent mutation testing framework based on MDE principles.

Wodel is a domain-specific language for model mutation that is independent of the target language or domain. It allows high-level specification of mutation operators that are compiled into Java code. Wodel-Edu extends Wodel to automatically generate model-based exercises by applying mutations to seed models and generating questions about the mutants. Exercises include multiple choice questions about correct/incorrect mutants or how to fix mutants.

Presentation of my PhD. plan during the Doctoral Symposium track at Models'16 conference - 2nd October 2016, Saint-Malo, France.

Presentación de mi Trabajo Fin de Máster sobre un framework para la generación automática de ejercicios mediante técnicas de mutación. Junio 2016.

Model-Driven Engineering (MDE) is a software engineering paradigm that uses models as main assets in all development phases. While many languages for model manipulation exist (e.g., for model transformation or code generation), there is a lack of frameworks to dene and apply model mutations. A model mutant is a variation of an original model, created by specific model mutation operations. Model mutation has many applications, for instance, in the areas of model transformation testing, model-based testing or education.In this paper, we present a domain-specic language, called Wodel, for the specication and generation of model mutants. Wodel is domain-independent, as it can be used to generate mutants of models conforming to arbitrary metamodels. Its development environment is extensible, permitting the incorporation of post-processors for dierent applications. As an example, we show an application consisting on the automated generation of exercises for particular domains (automata, class diagrams, electronic circuits, etc.).

Everything that I found interesting last month about the irresponsible use of machine intelligence