Application of software development methodologies.

Lesson 57/59 | Study Time: Min


Application of software development methodologies:


When delving into the world of e-commerce, it's crucial to acknowledge the importance of software development methodologies. These methodologies guide the process of constructing a solution, from initial concept to final implementation, and each one offers its distinctive approach to project management.

The Waterfall Methodology :waterfall:

Imagine planning your project like building a waterfall, layer by layer. This is exactly the essence of the Waterfall Methodology. In this sequential approach, each stage is meticulously planned and completed before progressing to the next.

The Waterfall model begins with detailed requirements gathering, then flows through design, implementation, testing, deployment, and maintenance. The benefit of this model is its clear structure and straightforward planning. However, it's not without its drawbacks. Changes can be costly and time-consuming as they require revisiting stages that have been completed.

In the context of e-commerce, a real-world example could be a large-scale online retail store where the requirements are well-defined and unlikely to change drastically.

project_stages = ["Requirements", "Design", "Implementation", "Testing", "Deployment", "Maintenance"]

for stage in project_stages:

    print(f"Current stage: {stage}")

    # complete current stage

    # only proceed to next stage when current stage is completed


The Agile Methodology :runner:

Agile Methodology on the other hand, embraces change. It breaks projects into small, manageable units of work, or 'sprints', which typically last one to four weeks. Each sprint involves planning, development, testing, and review, allowing for regular feedback and adjustments.

The allure of Agile lies in its flexibility and adaptability. It's ideal for e-commerce projects where the requirements aren't fully known at the outset or are expected to evolve. But it does require a high level of engagement from all project stakeholders, which might be a challenge in some environments.

A real-world example could be an innovative e-commerce start-up that needs to respond quickly to market trends or user feedback.

sprint_duration = 2  # weeks

project_sprints = divide_project_into_sprints(project, sprint_duration)

for sprint in project_sprints:

    print(f"Current sprint: {sprint}")

    # plan, develop, test, and review during each sprint

    # adjust plans based on feedback


The DevOps Methodology :hammer_and_wrench:

Lastly, there's DevOps, a philosophy that promotes collaboration between Development and Operations teams. It emphasizes automation and monitoring at all stages of software construction, from integration, testing, releasing to deployment, and infrastructure management.

DevOps can drastically reduce the time to market and facilitate continuous delivery. An example in the e-commerce domain could be a company striving to ensure high availability and frequent updates of their platform.

devops_pipeline = ["Integration", "Testing", "Release", "Deployment", "Monitoring"]

for stage in devops_pipeline:

    print(f"Current stage: {stage}")

    # automate each stage as much as possible

    # monitor performance and fix issues quickly


In Conclusion

Selecting a software development methodology is a strategic decision that should align with the project's nature, team's capabilities, and the organization's culture. Application of the right methodology will ensure a smooth journey from the conception of an e-commerce development project to its successful execution.

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1- Introduction 2- Models of data communication and computer networks: Analyse the models used in data communication and computer networks. 3- Hierarchical computer networks: Analyse the different layers in hierarchical computer networks. 4- IP addressing in computer networks: Set up IP addressing in a computer network. 5- Static and dynamic routing: Set up static and dynamic routing in a computer network. 6- Network traffic management and control: Manage and control network traffic in a computer network. 7- Network troubleshooting: Diagnose and fix network problems. 8- Introduction 9- Concepts and sources of big data. 10- Recommendation systems, sentiment analysis, and computational advertising. 11- Big data types: streaming data, unstructured data, large textual data. 12- Techniques in data analytics. 13- Problems associated with large data sets used in applied analytical models. 14- Approaches to visualize the output from an enforced analytical model. 15- Big data processing platforms and tools. 16- Performing simple data processing tasks on a big data set using tools 17- Introduction 18- Relational Database Management Systems: Analyze the concepts and architecture of a relational database management system. 19- Entity Relationship Model: Analyze the components of an entity relationship model. 20- Relational Model: Analyze relation, record, field, and keys in a relational model. 21- ER to Relational Model Conversion: Perform a conversion from an ER model to the relational model. 22- Functional Dependency: Analyze the concepts of closure sets, closure operation, trivial, non-trivial, and semi-trivial functional dependencies. 23- Normal Forms: Analyze the concepts of lossless, attribute-preserving, and functional-dependency-preserving decomposition, and first normal form. 24- Installation of Programming Languages and Databases: Install MySQL and phpMyAdmin and install Java and Python programming languages. 25- CRUD Operations: Perform create, read, update, delete (CRUD) operations in MySQL. 26- MySQL Operations: Perform MySQL operations using CONCAT, SUBSTRING, REPLACE, REVERSE, CHAR LENGTH, UPPER, and LOWER commands. 27- Aggregate Functions: Perform MySQL operations using count, group by, min, max, sum, and average functions. 28- Conditional Statements and Operators: Perform MySQL operations using not equal, not like, greater than, less than, logical AND, logical OR. 29- Join Operations: Perform MySQL operation. 30- Introduction 31- Historical development of databases: Analyze the evolution of technological infrastructures in relation to the development of databases. 32- Impact of the internet, the world-wide web, cloud computing, and e-commerce: Analyze the impact of these technologies on modern organizations. 33- Strategic management information system (MIS): Analyze the characteristics and impact of a strategic MIS. 34- Information systems for value-added change: Analyze how information systems can support value-added change in organizations. 35- Functionality of information communication technology: Analyze the functionality offered by information communication technology and its implications. 36- International, ethical, and social problems of managing information systems: Define the international, ethical, and social problems associated. 37- Security and legislative issues in building management information systems: Define the security and legislative issues related to building MIS. 38- Security and legislative issues in implementing management information systems: Define the security and legislative issues related to implementing MIS. 39- Security and legislative issues in maintenance. 40- Introduction 41- Ethical concepts in computing: Analyse common ethical concepts and theories in computing. 42- Laws and social issues in information technology: Analyse laws and social issues in areas including privacy, encryption, and freedom of speech. 43- Intellectual property and computer crime: Analyse the laws relating to trade secrets, patents, copyright, fair use and restrictions, peer-to-peer. 44- Data privacy: Define data privacy and analyse the types of data included in data privacy. 45- Ethical theories and the U.S. legal system: Analyse philosophical perspectives such as utilitarianism versus deontological ethics and the basics. 46- Ethical dilemmas in information technology: Apply ethical concepts and an analytical process to common dilemmas found in the information technology. 47- Impacts of intellectual property theft and computer crime: Analyse the impacts of intellectual property theft and computer crime. 48- Ethics in artificial intelligence (AI): Analyse the ethics in AI, including autonomous vehicles and autonomous weapon systems. 49- Ethics in robotics: Analyse the ethics in robotics, including robots in healthcare. 50- Introduction 51- Technologies involved in building a secure e-commerce site. 52- Common problems faced by e-commerce sites. 53- Requirements analysis and specification for an e-commerce project. 54- Writing a project proposal and creating a presentation. 55- Front-end development tools, frameworks, and languages. 56- Back-end development languages, frameworks, and databases. 57- Application of software development methodologies. 58- Creating a project report and user documentation. 59- Delivering structured presentations on the software solution.
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