demos/Demo Analysis IntelliJ IDEA (german) (empty).ipynb

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            "source": [
                "## Programmierbeispiel"
            ]
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            "source": [
                "### Fallbeispiel\n",
                "\n",
                "#### IntelliJ IDEA\n",
                "\n",
                "* IDE f\u00fcr Java-Entwickler\n",
                "* Fast komplett in Java geschrieben\n",
                "* Gro\u00dfes und lang aktives Projekt"
            ]
        },
        {
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            "source": [
                "### I. Fragestellung (1/3)\n",
                "\n",
                "* Schreibe die Frage explizit auf\n",
                "* Erkl\u00e4re die Anayseidee verst\u00e4ndlich\n"
            ]
        },
        {
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            "source": [
                "### I. Fragestellung (2/3)\n",
                "\n",
                "<b>Frage</b>\n",
                "* Welche Quellcodedateien sind besonders komplex und \u00e4nderten sich in letzter Zeit h\u00e4ufig?\n"
            ]
        },
        {
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            "metadata": {
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            },
            "source": [
                "### I. Fragestellung (3/3)\n",
                "#### Umsetzungsideen\n",
                "* Werkzeuge: Jupyter, Python, pandas, matplotlib\n",
                "* Heuristiken:\n",
                " * \"komplex\": viele Quellcodezeilen\n",
                " * \"\u00e4ndert ... h\u00e4ufig\": hohe Anzahl Commits\n",
                " * \"in letzter Zeit\": letzte 90 Tage\n"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {
                "slideshow": {
                    "slide_type": "fragment"
                }
            },
            "source": [
                "**Meta-Ziel:** Grundmechaniken kennenlernen."
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {
                "slideshow": {
                    "slide_type": "slide"
                }
            },
            "source": [
                "### II. Explorative Datenanalyse\n",
                "* Finde und lade m\u00f6gliche Softwaredaten\n",
                "* Bereinige und filtere die Rohdaten"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {
                "slideshow": {
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            },
            "source": [
                "*Wir laden einen Datenexport aus einem Git-Repository.*"
            ]
        },
        {
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                    "delete"
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        },
        {
            "cell_type": "markdown",
            "metadata": {
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            },
            "source": [
                "*Wir sehen uns Basisinfos \u00fcber den Datensatz an.*"
            ]
        },
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            "source": [
                "<b>1</b> **DataFrame** (~ programmierbares Excel-Arbeitsblatt), <b>6</b> **Series** (= Spalten), <b>1128819</b> **entries** (= Reihen)"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {
                "slideshow": {
                    "slide_type": "slide"
                }
            },
            "source": [
                "*Wir wandeln die Zeitstempel von Texte in Objekte um.*"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": null,
            "metadata": {
                "scrolled": true,
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        {
            "cell_type": "markdown",
            "metadata": {
                "slideshow": {
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            },
            "source": [
                "*Wir sehen uns nur die j\u00fcngsten \u00c4nderungen an.*"
            ]
        },
        {
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            "metadata": {
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        {
            "cell_type": "markdown",
            "metadata": {
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            },
            "source": [
                "*Wir wollen nur Java-Code verwenden.*"
            ]
        },
        {
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            "source": [
                "### III. Formale Modellierung\n",
                "\n",
                "* Schaffe neue Sichten\n",
                "* Verschneide weitere Daten"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {
                "slideshow": {
                    "slide_type": "slide"
                }
            },
            "source": [
                "*Wir z\u00e4hlen die Anzahl der \u00c4nderungen je Datei.*"
            ]
        },
        {
            "cell_type": "code",
            "execution_count": null,
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        {
            "cell_type": "markdown",
            "metadata": {
                "slideshow": {
                    "slide_type": "slide"
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            },
            "source": [
                "*Wir holen Infos \u00fcber die Code-Zeilen hinzu...*"
            ]
        },
        {
            "cell_type": "code",
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            },
            "source": [
                "*...und verschneiden diese mit den vorhandenen Daten.*"
            ]
        },
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            "source": [
                "### VI. Interpretation\n",
                "* Erarbeite das Kernergebnis der Analyse heraus\n",
                "* Mache die zentrale Botschaft / neuen Erkenntnisse deutlich"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {
                "slideshow": {
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                }
            },
            "source": [
                "*Wir zeigen nur die TOP 10 Hotspots im Code an.*"
            ]
        },
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            },
            "source": [
                "### V. Kommunikation\n",
                "* Transformiere die Erkenntnisse in eine verst\u00e4ndliche Visualisierung\n",
                "* Kommuniziere die n\u00e4chsten Schritte nach der Analyse"
            ]
        },
        {
            "cell_type": "markdown",
            "metadata": {
                "slideshow": {
                    "slide_type": "slide"
                }
            },
            "source": [
                "*Wir erzeugen ein XY-Diagramm aus der TOP 10 Liste.*"
            ]
        },
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            },
            "source": [
                "Bonus: Welche Dateien \u00e4ndern sich besonders h\u00e4ufig im Allgemeinen?"
            ]
        },
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        },
        {
            "cell_type": "markdown",
            "metadata": {
                "slideshow": {
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            },
            "source": [
                "*Wir visualisieren dies mit einem einfachen Liniendiagramm.*"
            ]
        },
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            },
            "source": [
                "### Ende der Demo"
            ]
        }
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