The document introduces software engineering and discusses why software development is difficult. It notes that software is a discrete system that can have hidden surprises unlike continuous systems. It defines software engineering as a collection of techniques, methodologies, and tools that help produce high-quality software systems within budget and deadline constraints while accommodating change. The document contrasts the roles of computer scientists and engineers and describes software engineering as involving problem solving through analysis and synthesis.
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Bridging the gap: Successful collaboration between engineering & designUXDXConf
When a genius new product idea is brewing, whether it be through a hackathon, user research, or a stakeholder, the process of getting the idea to implementation heavily relies on developers. The collaboration between product, design, and engineering can sometimes be tricky because they don't always speak the same technical language and are viewing the concept through very different lenses. Shutterstock's Software Development Manager, Anusha Dayananda, will provide her perspective of how to ensure buy-in from the engineering team.
Anusha Dayananda, Software Development Manager, Shutterstock
When a genius new product idea is brewing, whether it be through a hackathon, user research, or a stakeholder, the process of getting the idea to implementation heavily relies on developers. The collaboration between product, design, and engineering can sometimes be tricky because they don't always speak the same technical language and are viewing the concept through very different lenses. Shutterstock's Software Development Manager, Anusha Dayananda, will provide her perspective of how to ensure buy-in from the engineering team.
Title: Empowering Empirical Research in Software Design: Construction and Studies on a Large-Scale Corpus of UML Models
Ph.D Candidate: Truong Ho-Quang (Chalmers | Gothenburg Univ. Sweden)
Opponent: Dr. Klass-Jan Stol (University College Cork, Ireland)
Grading Committee Members: 1) Dr. Maria Teresa Baldassarre (University of Bari Aldo Mori, Italy); 2) Dr. Christoph Treude (University of Adelaide, Australia); 3) Dr. Sebastian Herold (Karlstad University, Sweden)
Supervisors: Dr. Michel R.V. Chaudron & Dr. Regina Hebig (Chalmers | Gothenburg Univ. Sweden)
Dear students get fully solved assignments
Send your semester & Specialization name to our mail id :
help.mbaassignments@gmail.com
or
call us at : 08263069601
Bridging the gap: Successful collaboration between engineering & designUXDXConf
When a genius new product idea is brewing, whether it be through a hackathon, user research, or a stakeholder, the process of getting the idea to implementation heavily relies on developers. The collaboration between product, design, and engineering can sometimes be tricky because they don't always speak the same technical language and are viewing the concept through very different lenses. Shutterstock's Software Development Manager, Anusha Dayananda, will provide her perspective of how to ensure buy-in from the engineering team.
Anusha Dayananda, Software Development Manager, Shutterstock
When a genius new product idea is brewing, whether it be through a hackathon, user research, or a stakeholder, the process of getting the idea to implementation heavily relies on developers. The collaboration between product, design, and engineering can sometimes be tricky because they don't always speak the same technical language and are viewing the concept through very different lenses. Shutterstock's Software Development Manager, Anusha Dayananda, will provide her perspective of how to ensure buy-in from the engineering team.
Title: Empowering Empirical Research in Software Design: Construction and Studies on a Large-Scale Corpus of UML Models
Ph.D Candidate: Truong Ho-Quang (Chalmers | Gothenburg Univ. Sweden)
Opponent: Dr. Klass-Jan Stol (University College Cork, Ireland)
Grading Committee Members: 1) Dr. Maria Teresa Baldassarre (University of Bari Aldo Mori, Italy); 2) Dr. Christoph Treude (University of Adelaide, Australia); 3) Dr. Sebastian Herold (Karlstad University, Sweden)
Supervisors: Dr. Michel R.V. Chaudron & Dr. Regina Hebig (Chalmers | Gothenburg Univ. Sweden)
Introduction to Software Engineering, Software Process, Perspective and Specialized Process Models – Introduction to Agility – Agile process – Extreme programming – XP process - Estimation-FP,LOC and COCOMO I and II,Risk Management, Project Scheduling.
Introduction to Software Engineering, Software Process, Perspective and Specialized Process Models – Introduction to Agility – Agile process – Extreme programming – XP process - Estimation-FP,LOC and COCOMO I and II,Risk Management, Project Scheduling.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
Generative AI Deep Dive: Advancing from Proof of Concept to ProductionAggregage
Join Maher Hanafi, VP of Engineering at Betterworks, in this new session where he'll share a practical framework to transform Gen AI prototypes into impactful products! He'll delve into the complexities of data collection and management, model selection and optimization, and ensuring security, scalability, and responsible use.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
Le nuove frontiere dell'AI nell'RPA con UiPath Autopilot™UiPathCommunity
In questo evento online gratuito, organizzato dalla Community Italiana di UiPath, potrai esplorare le nuove funzionalità di Autopilot, il tool che integra l'Intelligenza Artificiale nei processi di sviluppo e utilizzo delle Automazioni.
📕 Vedremo insieme alcuni esempi dell'utilizzo di Autopilot in diversi tool della Suite UiPath:
Autopilot per Studio Web
Autopilot per Studio
Autopilot per Apps
Clipboard AI
GenAI applicata alla Document Understanding
👨🏫👨💻 Speakers:
Stefano Negro, UiPath MVPx3, RPA Tech Lead @ BSP Consultant
Flavio Martinelli, UiPath MVP 2023, Technical Account Manager @UiPath
Andrei Tasca, RPA Solutions Team Lead @NTT Data
SAP Sapphire 2024 - ASUG301 building better apps with SAP Fiori.pdfPeter Spielvogel
Building better applications for business users with SAP Fiori.
• What is SAP Fiori and why it matters to you
• How a better user experience drives measurable business benefits
• How to get started with SAP Fiori today
• How SAP Fiori elements accelerates application development
• How SAP Build Code includes SAP Fiori tools and other generative artificial intelligence capabilities
• How SAP Fiori paves the way for using AI in SAP apps
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfPaige Cruz
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
2. Bernd Bruegge & Allen H. Dutoit Object-Oriented Software Engineering: Using UML, Patterns, and Java 2
Why is software development difficult?
• The problem domain (also called application
domain) is difficult
• The solution domain is difficult
• The development process is difficult to manage
• Software offers extreme flexibility
• Software is a discrete system
• Continuous systems have no hidden surprises
• Discrete systems can have hidden surprises! (Parnas)
David Lorge Parnas is an early pioneer in
software engineering who developed the
concepts of modularity and information hiding
in systems which are the foundation of
object oriented methodologies.
3. Bernd Bruegge & Allen H. Dutoit Object-Oriented Software Engineering: Using UML, Patterns, and Java 3
Software Engineering is more than
writing Code
• Problem solving
• Creating a solution
• Engineering a system based on the solution
• Modeling
• Knowledge acquisition
• Rationale management
4. Bernd Bruegge & Allen H. Dutoit Object-Oriented Software Engineering: Using UML, Patterns, and Java 4
Computer Science vs. Engineering
• Computer Scientist
• Assumes techniques and tools have to be developed.
• Proves theorems about algorithms, designs languages,
defines knowledge representation schemes
• Has infinite time…
• Engineer
• Develops a solution for a problem formulated by a client
• Uses computers & languages, techniques and tools
• Software Engineer
• Works in multiple application domains
• Has only 3 months...
• …while changes occurs in the problem formulation
(requirements) and also in the available technology.
5. Bernd Bruegge & Allen H. Dutoit Object-Oriented Software Engineering: Using UML, Patterns, and Java 5
20
Challenge: Dealing with complexity and
change
Software Engineering is a collection of techniques,
methodologies and tools that help with the
production of
A high quality software system developed with a
given budget before a given deadline
while change occurs
Software Engineering: A Working
Definition
6. Bernd Bruegge & Allen H. Dutoit Object-Oriented Software Engineering: Using UML, Patterns, and Java 6
Software Engineering:
A Problem Solving Activity
• Analysis:
• Understand the nature of the problem and break the
problem into pieces
• Synthesis:
• Put the pieces together into a large structure
For problem solving we use techniques,
methodologies and tools.
7. Bernd Bruegge & Allen H. Dutoit Object-Oriented Software Engineering: Using UML, Patterns, and Java 6
Software Engineering:
A Problem Solving Activity
• Analysis:
• Understand the nature of the problem and break the
problem into pieces
• Synthesis:
• Put the pieces together into a large structure
For problem solving we use techniques,
methodologies and tools.
Editor's Notes
So, in addition to the requirements of the system which have to be unambigous, we need to identify the end user ,the person that is ultimately using the system.
The problem domain is sometimes difficult, just because we are not experts in it. That is, it might not be intellectually challenging, but because you are not an expert in it, you have to learn it. Couple this with learning several problem domains, and that is what you will have to do as a software engineer, and the problem becomes obvious.
The development process is very difficult to manage. This has taken some time and some billion dollars to learn, but we are now starting to accept the fact, that software development is a complex activity. One of the assumptions that managers have made in the past, is that software development can be managed as a set of steps in linear fashion, for example: Requirements Specification, followed by System Design followed by Implementation followed by Testing and Delivery.
In reality this is not that easy. Software Development does not follow a linear process. It is highly nonlinear. There are dependencies between the way you design a system and the functionality you require it to have. Moreover, and that makes it really tricky, some of these dependencies cannot be formulated unless you try the design.
Another issue: Software is extremely flexible. We can change almost anything that we have designed in software. While it is hard to change the layout of a washing machine, it is extremely easy to change the program running it.
Here is another problem: When you are sitting in a plane in a window seat, and you push a button to call the steward for a drink, you don’t expect the system to take a hard left turn and dive down into the pacific. This can happen with digital systems. One of the reasons: While you can decompose the system into subsystems, say “Call Steward” and “Flight Control” subsystems, if you don’t follow good design rules, you might have used some global variable for each of these subsystems.
In the old days, when memory was expensive, programmers did this, as we learned in the case of the space shuttle.
And one of these global variables used by the “Flight Control” subsystem might have unintentionally ben been overwritten by the “Call Steward” SubSystem.
It requires the most differing activities and abilities in problem solving, abstract thinking, knowledge acquisition and understanding the reasons behind decisions
We will cover each of these areas in class as we move along.
To aid you in each of these areas, we are using 3 types of weapons, Techniques, Methodologies and Tools
A computer scientist assumes that techniques, methodologies and tools are to be developed. They investigate in designs for each of these weapons, and prove theorems that specify they do what they are intended to do. They also design languages that allow us to express techniques. To do all this, a computer scientist has available an infinite amount of time.
A software engineering views these issues as solved. The only question for the software engineer is how these tools, techniques and methodologies can be used to solve the problem at hand. What they have to worry about is how to do it under the time pressure of a deadline. In addition they have to worry about a budget that might constrain the solution, and often, the use of tools. Good software engineering tools can cost up to a couple of $10,000 Dollars
Let‘s come up with th a working definition for software engineering. This definition helps us to get started, because it contains the major problem areas that we have to deal with during software development.
What is Software Engineering? The goal is to produce high quality software to satisfy a set of functional and nonfunctional requirements. How do we do that?
First, and foremost, by acknowledging that it is a problem solving activity. That is, it has to rely on well known techniques that are used all over the world for solving problems. There are two major parts of any problem solving process:
Analysis: Understand the nature of the problem. This is done by looking at the problem and trying to see if there are subaspects that can be solved independently from each other. This means, that we need to identify the pieces of the puzzle (In object-oriented development, we will call this object identification).
Synthesis: Once you have identified the pieces, you want to put them back together into a larger structure, usually by keeping some type of structure within the structure.