Category | Assignment | Subject | Computer Science |
---|---|---|---|
University | Coventry University | Module Title | 7047CEM Software Development Project |
Word Count | a MP4 video of 15 mins [+/- 10%] |
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Assessment Type | CW1 |
Assessment Title | Group presentation/ demo video and peer assessment |
Deadline | 4 August 2025, 18:00 UK time |
This is a group-based assignment to report on the full-stack development of a software product of your choice, agreed upon by the team. You should form a group of 5 members to undertake a group project and deliver a software product of your choice (with the technologies or platforms agreed by the team).
You are expected to acknowledge any AI tools you have in your research process, and you must cite and reference any generated AI-related information in the group presentation using the Coventry University APA style.
The assessment criteria are as detailed as below:
GROUP ASSESSMENT CRITERIA |
CW1 marks |
Project Evaluation Presentation |
60 |
Quality of evaluation in the following areas related to the group software project: · Key agile techniques with evidence of using software tools. · The project risks, social, professional, legal and ethical issues. |
|
Software Features Demonstration |
30 |
Quality/complexity / creativity (with live data supported by a rationale for software features) |
|
Peer Assessment (overall project) Give the rating out of 10 (10 being the highest rating, no decimal point) for the contribution of each team member |
10 |
Total: |
100 |
Please see the details of how to submit the assignment here.
1. A group presentation and demo video (15 mins up to one GB file size, in the MP4 format (e.g., using Microsoft Teams recording) for the following areas: (to be submitted by ONE nominated team member on the group’s behalf)
i. Evaluation of key agile techniques applied to develop software solutions and manage the group software project with evidence of using software tools for agile projects (LO1, LO3)
ii. Evaluation of the project risks, social, professional, legal and ethical issues associated with the group software project (LO4)
(Note: the assessment is in the Amber category for use of AI, i.e., AI used to assist. You are expected to acknowledge any AI tools you have used in your research process, and you must cite and reference any information related to generated AI using the Coventry University APA style in the group presentation slides.)
iii. Working of the most significant or innovative feature(s) implemented in the chosen technologies and platforms to meet the business requirements, supported with a rationale for the development (LO1, LO2)
2. Peer assessment rating: as an individual member of the group, you need to submit a rating (0-10 whole number, no decimal points, 10 being the highest rating) for each of your team members in terms of his/her contribution to the group project (using the ‘Peer Assessment’ template on Aula.)
Academic staff will not be responsible for removing submissions that are made in error. Therefore, please take care in checking your submission before uploading to the final assessment submission link. You may submit multiple times to the final assessment link, but do remember that obtaining a similarity report may take up to 24 hours, and this should not be attempted close to the deadline. You may also utilise the draft link in the community pages for checking your similarity scores before the deadline.
If you experience any technical problems when trying to submit your work, please consult Aula help via the question mark link. If these problems are experienced at the time of the submission deadline and cannot be quickly resolved, please capture screenshots as evidence and email these and your completed assessment to the module leader as soon as possible. Whilst this cannot be marked, it could be used as evidence that you’ve gained no time advantage on your work should this be needed for an appeal.
Do You Need 7047CEM Assignment for This Question
Order Non-Plagiarised AssignmentYour assignment will be marked by the module team.
Provisional marks will be released once internally moderated.
Feedback will be provided by the module team alongside grade release.
The students can access their feedback via the submission link, along with their marks.
Your provisional marks and feedback should be available within 2 weeks (10 working days) after the extension submission date.
Details of the marking criteria for this task can be found at the bottom of this assignment brief.
The Learning Outcomes for this module align with the marking criteria, which can be found at the end of this brief. Ensure you understand the marking criteria to ensure achievement of the assessment task. The following module learning outcomes are assessed in this task:
If you have any questions about this assignment, please see the Student Guidance on Coursework for more information.
You are expected to use effective, accurate, and appropriate language within this assessment task.
The work you submit must be your own, or in the case of group work, that of your group. All sources of information need to be acknowledged and attributed; therefore, you must provide references for all sources of information and acknowledge any tools used in the production of your work, including Artificial Intelligence (AI). We use detection software and make routine checks for evidence of academic misconduct.
It is your responsibility to keep a record of how your thinking has developed as you progress through to submission. Appropriate evidence could include: version-controlled documents, developmental sketchbooks, or journals. This evidence can be called upon if we suspect academic misconduct.
If using Artificial Intelligence (AI) tools in the development of your assignment, you must reference which tools you have used and for what purposes you have used them. This information must be acknowledged in your final submission.
Definitions of academic misconduct, including plagiarism, self-plagiarism, and collusion, can be found on the Student Portal. All cases of suspected academic misconduct are referred for investigation, the outcomes of which can have profound consequences for your studies. For more information on academic integrity, please visit the Academic and Research Integrity section of the Student Portal.
If you have a disability, long-term health condition, specific learning difference, mental health diagnosis or symptoms and have discussed your support needs with health and wellbeing, you may be able to access support that will help with your studies.
If you feel you may benefit from additional support, but have not disclosed a disability to the University, or have disclosed but are yet to discuss your support needs, it is important to let us know so we can provide the right support for your circumstances. Visit the Student Portal to find out more.
The University wants you to do your best. However, we know that sometimes events happen, which mean that you cannot submit your assessment by the deadline or sit a scheduled exam. If you think this might be the case, guidance on understanding what counts as an extenuating circumstance and how to apply is available on the Student Portal.
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Fail 0 to 29% |
Fail 30, 35% |
40 to 49% |
50 to 59% |
60 to 69% |
70 to 79% |
80 to 100% |
Group Presentation (LO1, LO3, LO4)
Weighting: 60% |
Outcomes not met. Minimal understanding of agile given general discussion of agile concepts only, no discussion of specific techniques (including user stories with story points estimation, story mapping, sprints planning, task board and work breakdown, burn down charts).
Minimal understanding of project risks, the legal, ethical, social and professional issues in general with no reference to any professional codes or guidelines, for general software projects only. |
Outcomes not met. Limited understanding of agile with discussion of techniques only, limited to the descriptions of specific techniques (including user stories with story points estimation, story mapping, sprints planning, task board and work breakdown, burn down charts).
Limited understanding of project risks, the legal, ethical, social and professional issues with some references to professional codes and guidelines, for general software projects only. |
Outcomes met. Basic understanding of agile concepts and techniques applied to the group project work, on discussion of limited number of specific techniques (including user stories with story points estimation, story mapping, sprints planning, task board and work breakdown, burn down charts) with limited use of an agile management tool.
Basic understanding of project risks, the legal, ethical, social and professional issues in relation to the group software project, but lacking examples of relevant professional codes and guidelines. |
Good understanding of agile concepts and techniques applied to the group project work, with a good number of applications for specific techniques (including user stories with story points estimation, story mapping, sprints planning, task board and work breakdown, burn down charts) using an agile management tool.
Good understanding of project risks, the legal, ethical, social and professional issues with examples of relevant professional codes and guidelines for some of the areas, in relation to the group software project. |
Very good understanding of agile concepts and techniques applied to the group project work, with the application of specific techniques for most of the areas (including user stories with story points estimation, story mapping, sprints planning, task board and work breakdown, burn down charts) using an agile management tool.
Very good understanding of project risks, the legal, ethical, social and professional with examples of relevant professional codes and guidelines for most of the areas, in relation to the group software project. |
Excellent evaluation of agile concepts and techniques applied to the group project work, with the application of the scrum framework, and specific techniques in all areas (including user stories with story points estimation, story mapping, sprints planning, task board and work breakdown, burn down charts) using an agile management tool, with an evaluation of their strengths and weaknesses.
Excellent understanding of project risks, the legal, ethical, social and professional with examples of relevant professional codes and guidelines for all areas, including their strengths and weaknesses in relation to the group software project. |
Exceptional evaluation of agile concepts and techniques applied to the group project work, with the application of the scrum framework, and specific techniques in all areas (including scrum framework, user stories with story points estimation, story mapping, sprints planning, task board and work breakdown, burn down charts) using an agile management tool, including an evaluation of their strengths and weaknesses with recommendations. of the areas for improvements.
Excellent understanding of project risks, the legal, ethical, social and professional with examples of relevant professional codes and guidelines for all areas, including strengths and |
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weaknesses in relation to the group software project, plus recommendations of the areas for improvements. |
Software Features Demonstration (LO1, LO2)
Weighting: 30% |
Outcomes not met. Minimal demo of the software features in the chosen technologies and platforms with still images only, with no verbal explanation. |
Outcomes not met. Limited demo the software features in the chosen technologies and platforms with verbal explanation of the software features, but in still images only. |
Outcomes met. Basic demo of software features in the chosen technologies and platforms with limited data inputs and verbal explanation at a low level of quality and complexity and may require further examples of development (including front- end, computation and back-end development). |
Good demo of software features in the chosen technologies and platforms (including front-end, computation and back-end development) with live data inputs and verbal explanation, examples of Create, Read, Update and Delete (CRUD) operations in good quality and complexity, but may require further evidence of creativity with rational based on the market research. |
Very good demo of software features in the chosen technologies and platforms (including front-end, computation and back- end development) with live data inputs and verbal explanation, processing / computation and creativity at an very good level of quality, complexity, with creativity supported by rational based on the market research. |
Excellent demo of software features in the chosen technologies and platforms (including front-end, computation and back-end development) with live data inputs and verbal explanation, processing / computation and creativity at an excellent level of quality, complexity, with creativity supported by rational based on the market research. |
Exceptional demo of software features in the chosen technologies and platforms (including front-end, computation and back-end development) with live data inputs and verbal explanation, processing / computation at the professional level of quality and complexity, originality of creativity supported by detailed rational based on the market research. |
Peer Assessment
Weighting: 10% |
N/A |
N/A |
N/A |
N/A |
N/A |
N/A |
N/A |
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