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  • December 23, 2024
  • 101
  • 2024/2025
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‭Summary:‬‭Systems Development and -Economics [HMH79a] – Axel Temmerman‬




‭Systems Development and -Economics‬
‭Summary (2024 - 2025)‬

‭Chapter‬‭1:‬‭Introduction‬‭and‬‭Motivation‬‭...................................................................‬‭2‬
‭Trends‬‭in‬‭the‬‭industry‬‭and‬‭Explosion‬‭of‬‭produced‬‭data‬‭.........................................‬‭3‬
‭Chapter‬‭2:‬‭Basic‬‭Concepts‬‭of‬‭Software‬‭Engineering‬‭.............................................‬‭6‬
‭1.‬‭Why‬‭Software‬‭Engineering?‬‭...............................................................................‬‭6‬
‭2.‬‭Modeling‬‭the‬‭process‬‭and‬‭life‬‭cycle‬‭.................................................................‬‭10‬
‭The‬‭Scrum‬‭Process‬‭........................................................................................‬‭17‬
‭The‬‭Scaled‬‭Agile‬‭Framework‬‭(SAFe)‬‭.............................................................‬‭18‬
‭3.‬‭Capturing‬‭the‬‭software‬‭requirements‬‭...............................................................‬‭25‬
‭User‬‭Stories‬‭-‬‭Structured‬‭Natural‬‭Language‬‭...................................................‬‭29‬
‭Conceptual‬‭Modeling‬‭-‬‭Non-Natural‬‭Language‬‭Representations‬‭...................‬‭32‬
‭4.‬‭Designing‬‭the‬‭System‬‭......................................................................................‬‭36‬
‭Chapter‬‭3:‬‭UML‬‭.....................................................................................................................‬‭41‬
‭Principles‬‭of‬‭Visual‬‭Modeling‬‭...........................................................................................‬‭41‬
‭Business‬‭Modeling‬‭/‬‭Requirements‬‭..................................................................................‬‭47‬
‭Use‬‭Cases‬‭Diagrams‬‭.................................................................................................‬‭47‬
‭Activity‬‭Diagrams‬‭........................................................................................................‬‭52‬
‭Analysis and Design (Structural Diagrams: Class, Object and Composite Structure‬
‭Diagrams)‬‭.........................................................................................................................‬‭54‬
‭Analysis‬‭and‬‭Design‬‭(Interaction‬‭Diagrams:‬‭Sequence‬‭and‬‭Communication‬‭Diagrams)‬‭‬‭63‬
‭Analysis‬‭and‬‭Design‬‭(State‬‭Machine‬‭Diagrams)‬‭..............................................................‬‭72‬
‭Implementation‬‭(Component‬‭Diagrams)‬‭..........................................................................‬‭75‬
‭Implementation‬‭(Deployment‬‭Diagrams)‬‭..........................................................................‬‭75‬
‭Chapter‬‭4:‬‭Project‬‭Management‬‭.........................................................................................‬‭76‬
‭Managing‬‭Software‬‭Projects‬‭............................................................................................‬‭76‬
‭Essentials‬‭of‬‭RUP‬‭............................................................................................................‬‭79‬
‭Iterative‬‭Development‬‭................................................................................................‬‭79‬
‭RUP‬‭Content‬‭..............................................................................................................‬‭86‬
‭Managing‬‭Risk‬‭..................................................................................................................‬‭92‬
‭Managing‬‭Time‬‭.................................................................................................................‬‭97‬




‭1‬

, ‭Summary:‬‭Systems Development and -Economics [HMH79a] – Axel Temmerman‬



‭Chapter 1: Introduction and Motivation‬
‭Digitalization?‬
‭-‬ D
‭ igitalization is the use of digital technologies to change a‬‭business model‬
‭and provide‬‭new revenue and value-producing opportunities‬‭;‬‭it is the‬
‭process of moving to a‬‭digital business‬‭.‬


‭Software is everywhere:‬
‭-‬ D ‭ igitalization is primarily (but not only) about providing software support to‬
‭products and services that were not supported by software in the past.‬
‭-‬ ‭It touches every function of the company, so the entirety of the organization‬
‭should be rethought in function of the digital change.‬
‭-‬ ‭COVID-19 pandemic gave this digitalization an enormous boost. Plans that‬
‭had dragged on for years had to be implemented at very short notice,‬
‭overcoming many technological organizational, skill gaps, and cultural‬
‭barriers.‬


‭Digitalization is the new disruptor:‬
‭-‬ A ‭ ccording to Jim Collins, companies last on average no more than 10 years‬
‭on the Fortune 500 list. That time period keeps on regressing.‬
‭-‬ ‭Why does it regress? → Companies fail to innovate and to build new core‬
‭capacities.‬


‭What makes a company a digital one?‬

‭Not a digital company‬ ‭A digital company‬

-‭ ‬ ‭ ses emails‬
U -‭ ‬ ‭ ata-driven decision making‬
D
‭-‬ ‭Has a website‬ ‭-‬ ‭Relentless experimentation (e.g. A/B‬
‭-‬ ‭Uses social media‬ ‭testing)‬
‭-‬ ‭Uses video conferencing‬ -‭ ‬ ‭Short feedback cycles‬
‭-‬ ‭Has a chatbot‬ ‭-‬ ‭Decision making pushed down in‬
‭organization‬
-‭ ‬ ‭Strategic data collection‬
‭-‬ ‭Unified data warehouse‬
‭-‬ ‭Pervasive automation‬
‭-‬ ‭New job descriptions‬

‭Evolution of Technology‬




‭2‬

, ‭Summary:‬‭Systems Development and -Economics [HMH79a] – Axel Temmerman‬



‭ ommodity functionalities don’t give competitive advantage, differentiating‬
C
‭functionalities do.‬
‭Three Key Take-Aways so far:‬
‭1.‬ D ‭ igitalization is disrupting industry and society; the same trend should‬
‭continue and even accelerate.‬
‭2.‬ ‭Companies need a new digital business operating system:‬
‭a.‬ ‭SOFTWARE‬‭needs to be developed to sustain all of the‬‭business‬
‭activities in the most rapid and flexible way possible.‬
‭b.‬ ‭DATA‬‭allows for‬‭Artificial Intelligence‬‭(Machine and‬‭Deep Learning)‬
‭solutions and for‬‭EMPOWERMENT‬‭and‬‭autonomy‬
‭3.‬ ‭ECOSYSTEMS‬‭around software systems and IT services‬‭need to be included‬
‭in this new digital business operating system.‬


‭Trends in the industry and Explosion of produced data‬
‭Software drives everything!‬
-‭ ‬ F ‭ rom cars to drones‬
‭-‬ ‭IOT (Internet of Things)‬
‭-‬ ‭But in the future, we could see smart‬
‭cities, more integration of processes in‬
‭the blockchain, …‬


‭ oftware is so important that the “general law”‬
S
‭is that the size of software multiplies by 10‬
‭every 7 years. → exponential growth‬


‭AI Technique: Deep Learning‬
‭ n algorithm is created out of an existing‬
A
‭dataset. This algorithm is then trained to (in‬
‭this example) recognize what animal it is‬
‭looking at through trial and error.‬
‭ nce this algorithm is fully formed/developed‬
O
‭on the test set, you can deploy it and use it‬
‭outside of the training scenario.‬


‭Trend: Need for Speed‬
I‭n highly innovative environments (e.g.‬
‭apps development for smartphones) you‬
‭need short development cycles (agile‬
‭development), as well as continuous‬
‭development (DevOps).‬

‭3‬

, ‭Summary:‬‭Systems Development and -Economics [HMH79a] – Axel Temmerman‬



‭ eing speedy with the rolling out of new software/updates means that you can‬
B
‭capitalize on them as quickly as possible → generates a bigger competitive‬
‭advantage‬


‭Agile Development‬
‭-‬ B ‭ uild each feature one after the other in‬
‭independent short time iterations called sprints.‬
‭Each sprint produces an executable feature.‬
‭-‬ ‭Features are prioritized in function of the business‬
‭value they offer (highest business value first)‬



‭ et’s imagine that you want to develop an entire system, cutting the system into‬
L
‭pieces allows you to deploy it piece by piece very early in the project life cycle. This‬
‭allows you to generate a return on investment on the piece that are already‬
‭deployed.‬

‭ unctionalities that generate the most value (e.g. money) are developed first so as to‬
F
‭be deployed as quickly as possible. → Driving developments by value‬



‭DevOps‬
‭-‬ C ‭ an be seen as an evolution of agile‬
‭development, it is relevant of technology‬
‭driven businesses (e.g. Netflix, Amazon,‬
‭…)‬
‭-‬ ‭Sprints do not only involve the traditional‬
‭development team (the Devs) but also the‬
‭operation team (the Ops) in charge of integrating the produced software‬
‭(features) into the organization’s software ecosystem. This way each new‬
‭release (or feature) can be immediately (continuously) integrated in the‬
‭organization’s software ecosystem.‬
‭-‬ ‭This approach, while successful, presents a lot of constraints; for it to be‬
‭effective both groups need to be aware of what the software ecosystem is and‬
‭how it functions. If that is not the case, it could result in an unusable‬
‭infrastructure.‬




‭4‬

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