> For the complete documentation index, see [llms.txt](https://developer.harness.io/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://developer.harness.io/software-engineering-insights/use-software-engineering-insights/sei-administration/sei-calculations/scm/scm-metrics-calculation/scm-coding-days.md).

# SCM Coding Days

This topic provides a guide on how the **SCM Coding Days** metric is calculated across various SCM reports on SEI.

Coding Days can be defined as the metric representing the number of unique days within a specified time range during which a developer has committed code changes. This metric aims to quantify the developer's active engagement in coding activities over a given period.

### Scope of Measurement <a href="#scope-of-measurement" id="scope-of-measurement"></a>

The Coding Days metric is measured across 4 types of reports on SEI.

1. Trellis Raw Stats report
2. Trellis Developer report
3. SCM Coding Days report
4. SCM Coding Days Single Stat report

#### Trellis Raw Stats report <a href="#trellis-raw-stats-report" id="trellis-raw-stats-report"></a>

In the Raw Stats report the Coding Days metric displays the count of unique days on which a developer has committed code changes. To configure this report on your Insight, go to [Trellis Insight: Tutorial](/software-engineering-insights/use-software-engineering-insights/analytics-and-reporting/productivity/trellis-scores.md)

```bash
Calculation: Number of days in the selected time range with at least one commit.
```

#### Trellis Developer report <a href="#trellis-developer-report" id="trellis-developer-report"></a>

In the Trellis Developer report the Coding Days metric displays the average number of coding days per week that a developer has worked on during the selected time period. To configure this report on your Insight, go to [Trellis Insight: Tutorial](/software-engineering-insights/use-software-engineering-insights/analytics-and-reporting/productivity/trellis-scores.md)

```bash
Calculation: Raw coding days divided by the total number of weeks in the selected time range.
```

#### SCM Coding Days report <a href="#scm-coding-days-report" id="scm-coding-days-report"></a>

In the SCM Coding Days report the metric displays the coding days count based on the selected metrics in the widget configuration.

```bash
Calculation: Depends on the specific metric chosen in the widget configuration (e.g., Average Coding Days per Week).
```

#### SCM Coding Days Single Stat report <a href="#scm-coding-days-single-stat-report" id="scm-coding-days-single-stat-report"></a>

In this report the metric displays the coding days count per month based on the selected metrics in the widget configuration.

```bash
Calculation: Raw coding days divided by the total number of days in a month.
```

### Calculation Example <a href="#calculation-example" id="calculation-example"></a>

Consider a developer A, with commits between October 1, 2023, and December 31, 2023.

#### Trellis Raw Stats <a href="#trellis-raw-stats" id="trellis-raw-stats"></a>

* Developer A has committed code changes on 23 unique days within the specified time range.

#### Trellis Developer report <a href="#trellis-developer-report" id="trellis-developer-report"></a>

* Total days in the range: 92 days (from October 1 to December 31).
* Total weeks in the range: 92 days / 7 days per week ≈ 13.14 weeks.
* Average Coding Days per Week: 23 coding days / 13.14 weeks = 1.75 days per week.

#### SCM Coding Days Single Stat <a href="#scm-coding-days-single-stat" id="scm-coding-days-single-stat"></a>

* Total days in a month (assuming 30 days): 30 days.
* Average Coding Days per Month: 23 coding days / 30 days ≈ 0.76 days per month.

#### Summary <a href="#summary" id="summary"></a>

* Developer A had 23 unique coding days.
* On average, Developer A coded approximately 1.75 days per week.
* The average coding days per month for Developer A was approximately 0.76 days.

These calculations provide insights into Developer A’s coding activity, breaking it down into daily, weekly, and monthly perspectives. The Coding Days metric is a flexible measure that helps understand a developer's engagement on the codebase over different time periods.