# Sprint Completion Time

## 10thJLTi Code Jam – Dec 2017

At the start of a sprint we are given a list of deliverables. The first thing in our mind is whether the team can deliver it in time. Thus estimating time to complete a sprint is something very important.

The first thing we do is, split the deliverables into a number of tasks, and estimate the time required to complete each of them. A task takes 3 days to complete means it takes 3 days for one person to complete; it cannot be split further to get 3 persons doing it on a single day.

While some tasks can be completed independently, others might be dependent tasks – meaning we cannot start them unless the prerequisite tasks are completed first. For example, work on a report cannot start until we are done with the database design/creation. Testing or deployment cannot be done unless we develop the solution. Suppose, completing task 1, and task 2 takes 4, and 6 days respectively and task 2 is dependent on task 1 – in other words – task 1 is a prerequisite for task 2. In this case, completing task 2 would take 10 days.

Finally, we don’t have an infinite number of people available. And for simplicity, assume each person is capable of doing any of the tasks.

Input:

3

4 3 2 1 4 6

1 2 4

2 3 4

4 3

5 6

6 3

Output: 12

Explanation:

The first line says the team has 3 persons. Second line lists the number of days required to complete each of the tasks. Here we have 6 numbers. It says we have 6 tasks – task 1 takes 4 days to complete, task 2 takes 3 days to complete and so on. The last, task 6, takes 6 days.

The subsequent lines list the dependent tasks. 1 2 4 means task 1 depends on tasks 2 and 4. 6 3 means task 3 is a prerequisite for task 6. No line starts with 3 means task 3 does not depend on any other task.

Task 3 can be completed in 2 days by one person. These first 2 days the other two persons have to sit idle as all other tasks are dependent tasks. After 2 days, task 2, 4 or 6 – all of which were dependent on task 3 can start. Each of the 3 persons can start any of them. Once task 6 is done task 5 can start. Similarly, when task 2 is done task 1 can start. We will see completing all of them takes 12 days.

Input:

2

4 3 6 2

1 2

2 3

3 1

Output: Infeasible

Explanation: We have 2 persons to complete 4 tasks – completing them take 4, 3, 6 and 2 days respectively.  However, we see that task 1 is dependent on task 2, task 2 is dependent on task 3 and task 3 is dependent back on task 1. While we can finish task 4 easily, we cannot start any of the first 3 tasks. They are dependent on each other and thus creating a dependency cycle.

Task: Manually calculating the minimum time required to complete the tasks is time consuming and prone to error, especially when we need to estimate this very often. Why not write a small program that can do it for us?

Index

## Author: Gopal Das

Data Scientist @ CrimsonLogic, Singapore BS in CSE from Khulna University ME in Internet Science & Engineering from Indian Institute of Science (IISc) Publications on Query Optimization in RDBMS in ACM SIGMOD, IEEE ICDE etc. Founding team member and VP Engineering of iTwin, a spinoff from A*STAR Software engineer/data scientist for 19 years Software, Database, ML Father of 3 (two @ NUS High and one is too little!) www.linkedin.com/in/dasgopal https://github.com/gopalcdas