23CSE311 Software Engineering

Assessment

How your marks are made up

70 marks come from your work during the semester, and 30 from the end semester examination.

Components

ComponentMaximum marksWeightage
Mid Term (Lab 60%, Theory 40%)5020
Continuous Assessment (CAT 10 + CAL 40)5050
End Semester (Lab 60%, Theory 40%)5030
Total100

Continuous assessment, theory (CAT)

AssessmentMarks
Quiz 1 (sessions 1 to 8)5
Quiz 2 (sessions 22 to 33)5
Total10

Continuous assessment, lab (CAL)

AssessmentMarks
Review 0: User Story Board10
Review 1: Sprint 1 Review15
Review 2: Sprint 2 Review, Retrospective, and Release15
Total40

You will find the three reviews on the project page, with the rubric for each one.

Assessment timeline

The windows below are working dates for planning.

ComponentWindowCoversMarksCumulative
Quiz 1Sat 5 Dec to Fri 11 Dec 2026Sessions 1 to 855
Review 0: User Story BoardThu 31 Dec to Thu 7 Jan 2027Class presentation of the team User Story Board: epics, stories, acceptance criteria, priorities, estimates, release slices1015
MidtermFrom Wed 27 Jan 2027Sessions 1 to 21. Part A 30, Part B 20, out of 502035
Review 1: Sprint 1 ReviewMon 22 Feb to Fri 26 Feb 2027About 40% working build, tests, CI, AI usage log1550
Quiz 2Mon 1 Mar to Wed 3 Mar 2027Sessions 22 to 33555
Review 2: Sprint 2 Review, Retrospective, and ReleaseTue 23 Mar to Tue 30 Mar 2027Complete system, retrospective, closure1570
End SemesterFrom Wed 31 Mar 2027Exam pattern unchanged30100

Review 0 is presented to the whole class after sessions 11 to 15 have covered requirements engineering, user stories, acceptance criteria, estimation, and release planning.

Exam pattern

The midterm examination and the end semester examination are each out of 50 marks. The printed syllabus states a duration of 2 hours for the end semester examination. Each examination consists of the following components.

The midterm covers sessions 1 to 21 (Tue 17 Nov to Sat 9 Jan 2027). Part B includes questions on the specification and verification of AI produced work, and Part A may include reviewing and correcting a given UML diagram. StarUML is the tool for the lab component. Questions on evolutionary process models test recognition of each model, its trade offs, and its suitability.

Student instructions

Plagiarism of any form will not be accepted, and penalties will apply. Students should avoid requests for requizzes and missed midterms.