EurekaMoments

ロボットや自動車の自律移動に関する知識や技術、プログラミング、ソフトウェア開発について勉強したことをメモするブログ

How can we improve our test skills?

Software Development Software Test
  • Introduction
  • Rule of system level test
  • How about our system test environment?
  • What miwa's team can get by testing as system level
  • We should make our simulator's structure simpler
  • We should correlate test cases to development history
  • Trying to test by another procedure except planned test case

Introduction

I have been studying how to do software test effectively these days. When I was searching how to improve my test skills, I found the following blog.

miwa719.hatenablog.com

This blog was written by a software tester for medical equipment, miwa.
twitter.com

As she said in this blog, all of programmer in her team is good at testing very well and the main reason is "they test their software as system level for a hour every day."
In addition, she described what the rule of her system test is and what they can learn by testing every day.
I tried thinking how my software team and I can improve our test skills by reading the above blog and wrote memo about it in this article.

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Refactoring for Legacy software

Software Development Legacy

Table of contents

  • Table of contents
  • Introduction
  • Start refactoring
  • Preparation for refactoring
  • Code review
  • Special event
  • Risk
  • Mikado Method
  • Commented out code
  • Test
  • Documentation
  • Construction of development environment
  • Keeping quality of code

Introduction

I have a lot of times to read or modify a legacy code at my company.
The code sometimes let me feel that I want to refactor because it has a bad design and is difficult for me to read.
I read the following book and studied a lot of things to refactor the legacy code.

レガシーソフトウェア改善ガイド

レガシーソフトウェア改善ガイド

In this article, I'm introducing what I studied.

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Fundamentals of Regression by Machine Learning

Python Machine Learning

Table of contents

  • Table of contents
  • Introduction
  • Author
  • GitHub
  • Linear model with 1 dimensional input
    • Input data: Age
    • Target data: Height
    • Data generation
    • Linear model definition
    • Gradient method
    • Learning Result
    • Point to notice
  • Plane model with 2 dimensional input
    • Data generation
    • Plane model
  • D-dimensional Linear Regression Model
    • Solution of model
    • Extension to plane not passing through origin
  • Linear basis function
  • Overfitting problem
  • Hold-out validation
  • Cross-validation
    • K-hold cross-validation
    • Leave-one-out cross-validation
    • Validation result
  • Model improvement
    • Correct tendency
    • New model
    • Optimization
  • Model selection
    • Model A
    • Model B
    • Comparison result
  • Conclusion

Introduction

This is my studying log about machine learning, regression. I referred to a following book.

Pythonで動かして学ぶ!あたらしい機械学習の教科書 第2版

Pythonで動かして学ぶ!あたらしい機械学習の教科書 第2版

I extracted some important points and some related sample python codes and wrote them as memo in this article.

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Reading Log: FACTFULNESS

Book

Table of contents

  • Table of contents
  • Introduction
  • Author
  • Memo

Introduction

I read a book, 'FACTFULNESS' as follow.

Factfulness: Ten Reasons We're Wrong About The World - And Why Things Are Better Than You Think

Factfulness: Ten Reasons We're Wrong About The World - And Why Things Are Better Than You Think

In this book, customs and skills to understand the world based on data and facts correctly. I extracted some sentences which I was impressed and wrote as memo in this article.

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Usage of Fork

Git

Table of contents

  • Table of contents
  • Introduction
  • About Fork
  • Downloading and Installation
  • GUI
  • Clone
  • Repository Manager
  • Commit
  • Push
  • Create Branch
  • Merge Branch
  • Merge Conflict
  • Conclusion

Introduction

I tried to use Git GUI client, Fork.
This article is a memo about usage of Fork.

About Fork

You can see an explanation about Fork on the following web site.
Fork - a fast and friendly git client for Mac and Windows

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読書メモ: モダンC言語プログラミング

C Software Development
  • はじめに
  • メモ

はじめに

自分の職場では、プログラムの設計や開発環境構築、コーディングやテストなどで、非効率なやり方だと感じる部分がちょいちょいあり、そろそろ本格的に改善したいという思いが強くなっています。そこで、改善案の参考にしようとこの書籍を読みました。

モダンC言語プログラミング 統合開発環境、デザインパターン、エクストリーム・プログラミング、テスト駆動開発、リファクタリング、継続的インテグレーションの活用

モダンC言語プログラミング 統合開発環境、デザインパターン、エクストリーム・プログラミング、テスト駆動開発、リファクタリング、継続的インテグレーションの活用

今回の記事は、これを読みながらTwitter上でメモしたものになります。

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機械学習に必要な数学の基本についての勉強メモ: ガウス関数編

Python Machine Learning Mathematics
  • はじめに
  • 参考書籍
  • ガウス関数とは
  • ２次元への拡張
  • 関数の形を表すパラメータを加えた２次元ガウス関数
  • サンプルコード

はじめに

前回は、指数関数と対数関数の応用編としてシグモイド関数・ソフトマックス関数編を記事にしました。

www.eureka-moments-blog.com

今回は、このシリーズの最後として、ガウス関数について勉強した事のメモになります。

参考書籍

本記事の内容は、下記の書籍を読んで要点を抽出し、メモしたものになります。

Pythonで動かして学ぶ！ あたらしい機械学習の教科書

Pythonで動かして学ぶ！ あたらしい機械学習の教科書

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