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This course introduces software quality key concepts, practices, methodologies and techniques present through the software lifecycle.
Covid-19 Update: Please refer to the course page on AKO | Learn for all information about your course, including lectures, labs, tutorials and assessments.This course will discuss concepts for systematically establishing, defining and managing software quality from technical, organisational and management perspectives. Topics covered in the course include the following:● Quality basics and introduction - An introduction to the basic concepts of quality, its relation to Software Engineering, the current obstacles and solutions for ensuring quality of software systems.● Quality models and standards - A review of quality standards, conventions and models used in the industry.● Managing quality in software projects - An overview of the quality management knowledge and techniques, including planning and control activities.● Quality in software processes - An in-depth review of the challenges faced by organizations developing software products, and how those are managed through software process improvement initiatives.● Product quality - A description of the quality approach focused on the quality attributes of a software product, the models, standards and validation and verification practices.● Introduction to measurement - An overview to the need of measure, its basic concepts, the standards and methodologies related with metrics and measurement.● Sustainable software engineering - An introduction to Green Software Engineering concepts and practices related with the environmental, social and individual sustainability perspectives.● Tools and techniques - A review of quality tools and techniques useful during management and assurance processes.
1. Demonstrate Advanced Quality Knowledge. Showcase advanced understanding of software quality concepts and adeptly apply Software Quality Assurance (SQA) principles in practical scenarios [WA1, WA2, WA3, WA6, WA7, WA8, WA9, WA10, WA11, WA12]2. Analyse and Solve Diverse Quality Challenges. Utilize analytical skills to identify and address quality issues in software engineering, considering the diverse contexts of communities and norms [WA2, WA3, WA4, WA11]3. Hypothesize for Enhanced Effectiveness. Formulate hypotheses to improve the effectiveness, efficiency, and reliability of processes, products, and people (the P's) within the software development realm [WA2, WA3, WA6, WA7]4. Implement Organized Quality Management. Systematically implement quality management systems, emphasizing continuous improvement and justifying the chosen approaches [WA1, WA3, WA4, WA5, WA6, WA9, WA10, WA11, WA12]5. Apply advanced SQA techniques, tools, and Green Software principles and effectively plan, execute, and evaluate these strategies within software engineering endeavours [WA4, WA6, WA7, WA8, WA11, WA12]
This course will provide students with an opportunity to develop the Graduate Attributes specified below:
Employable, innovative and enterprising
Students will develop key skills and attributes sought by employers that can be used in a range of applications.
Globally aware
Students will comprehend the influence of global conditions on their discipline and will be competent in engaging with global and multi-cultural contexts.
SENG301 and approval by Head of Department
Students must attend one activity from each section.
Please note that the course activity times advertised here are currently in draft form, to be finalised on Monday 30 January 2023 for S1 and whole year courses, and Monday 26 June 2023 for S2 courses. Please hold off enquiries about these times until those finalisation dates.
Miguel Morales
Lecturer: Macario Polo Usaola
Covid-19 Update: Please refer to the course page on AKO | Learn for all information about your course, including lectures, labs, tutorials and assessments.In the case of an emergency that affects the whole course, the Course Coordinator may change the nature, weighting and timing of assessments, e.g., tests and examination may be replaced with assignments of the same weight or different weight at a different time and/or date (which, under certain circumstances, may be outside the prescribed course dates). The 'Special consideration' process will also be used for unforeseen circumstances that adversely affect the academic performance of students individually.
The Computer Science department's grading policy states that in order to pass a course you must meet two requirements:1. You must achieve an average grade of at least 50% over all assessment items.2. You must achieve an average mark of at least 45% on invigilated assessment items.If you satisfy both these criteria, your grade will be determined by the following University-wide scale for converting marks to grades: an average mark of 50% is sufficient for a C- grade, an average mark of 55% earns a C grade, 60% earns a C+ grade and so forth. However if you do not satisfy both the passing criteria you will be given either a D or E grade depending on marks. Marks are sometimes scaled to achieve consistency between courses from year to year.Students may apply for special consideration if their performance in an assessment is affected by extenuating circumstances beyond their control.Applications for special consideration should be submitted via the Examinations Office website within five days of the assessment. Where an extension may be granted for an assessment, this will be decided by direct application to the Department and an application to the Examinations Office may not be required. Special consideration is not available for items worth less than 10% of the course.Students prevented by extenuating circumstances from completing the course after the final date for withdrawing, may apply for special consideration for late discontinuation of the course. Applications must be submitted to the Examinations Office within five days of the end of the main examination period for the semester.
Domestic fee $1,110.00
International fee $5,275.00
* All fees are inclusive of NZ GST or any equivalent overseas tax, and do not include any programme level discount or additional course-related expenses.
For further information see Computer Science and Software Engineering .