You are managing a secure software engineering project with tasks like secure

authentication $($OAuth $2\mathrm{.}0),$ data encryption $($AES$-256),$ and penetration testing. Despite

implementing automated tools like static code analysis, vulnerability scanners, and

automated testing, the project is experiencing delays and cost overruns due to

misconceptions about the effectiveness of these tools.

The project details are as follows:

Total Planned Effort: $120$ person$-$days

Planned Completion by this point: $5$ tasks out of $6$

Actual Completion by this point: $4$ tasks out of $6$

Actual Effort Spent $($AC$)$: $125$ person$-$days

You are using Earned Value Management $($EVM$)$ to assess the project's schedule and cost

performance. Based on the provided details, calculate the following key metrics:

Planned Value $($PV$)$

Earned Value $($EV$)$

Actual Cost $($AC$)$

Schedule Performance Index $($SPI$)$

Cost Performance Index $($CPI$)$

Schedule Variance $($SV$)$

Cost Variance $($CV$)$

Options:

APV$=100$ person$-$days, EV$=80$ person$-$days, AC$=125$ person$-$days, $($S$)/($P$)$I $=0\mathrm{.}8,($C$)/($P$)$I $=$

$0\mathrm{.}64,$SV$=-20$ person$-$days, CV$=-45$ person$-$days

BPV$=120$ person$-$days, EV$=100$ person$-$days, AC$=125$ person$-$days, $($S$)/($P$)$I $=1\mathrm{.}0,($C$)/($P$)$I $=$

$1\mathrm{.}0,$ SV $=0$ person$-$days, CV $=0$ person$-$days

C$1\mathrm{.}1,$SV$=10$ person$-$days, CV$=-40$ person$-$days

DEV$=75$ person$-$days, AC$=110$ person$-$days, $($S$)/($P$)$I $=0\mathrm{.}9,($C$)/($P$)$I $=$

$0\mathrm{.}75,$SV$=-15$ person$-$days, CV$=-35$ person$-$days