Systems and Data Science Computer Science and Biomedical Engineering BMK endowed chair for Data Management Last update: Oct 23, 2021 2 706.015 Introduction to Scientific Writing – 01 Introduction and Introduction and Overview Matthias Boehm, Graz University of Technology, WS 2020/21 Agenda  Data Management Group  Course Organization, Outline, and Projects  Structure of Scientific Papers  Paper Project – 01 Introduction and Overview Matthias Boehm, Graz University of Technology, WS 2020/21 Data Management Group https://damslab.github.io/ 5 706.015 Introduction to Scientific Writing – 01 Introduction

Systems and Data Science Computer Science and Biomedical Engineering BMK endowed chair for Data Management Last update: Nov 11, 2021 2 706.015 Introduction to Scientific Writing – 03 Experiments & Reproducibility University of Technology, WS 2021/22 Experiments and Result Presentation In Computer Science (Data Management) [Ioana Manolescu, Stefan Manegold: Performance Evaluation in Database Research: Principles creation of agreed benchmarks  Benchmarks can define a field and foster innovation  #1 Data Management  Query processing: 007, TPC-C, TPC-E, TPC-H, TPC-DS (w/ audit)  Join ordering: JOB  #2

Systems and Data Science Computer Science and Biomedical Engineering BMK endowed chair for Data Management Last update: Nov 04, 2021 2 706.015 Introduction to Scientific Writing – 02 Scientific Reading Boehm, Graz University of Technology, WS 2021/22 Scientific Reading In Computer Science (Data Management) 5 706.015 Introduction to Scientific Writing – 02 Scientific Reading and Writing Matthias Boehm Boehm, Graz University of Technology, WS 2021/22 Scientific Writing In Computer Science (Data Management) [Justin Zobel: Writing for Computer Science, 2nd ed. Springer 2004, ISBN 978-1-85233-802-2]

1000000; ++i) { f.DoSomething(i); } Static and Global Variables Variables of class type with static storage duration are forbidden: they cause hard-to-find bugs due to indeterminate order of construction and if they are constexpr: they have no dy- namic initialization or destruction. Objects with static storage duration, including global variables, static variables, static class member variables, and function variables with static storage duration (i.e. statics and globals, see Storage Duration for details) should be named this way. This convention is optional for variables of other storage classes, e.g. automatic

Definition: Reusability mechanism for sharing code from one module to an- other. Pros: The namespace management convention is simple. The source of each identifier is indicated in a consistent way; x.Obj says will actually run the file’s destructor. Different Python implementations use different memory management techniques, such as delayed Garbage Collection, which may increase the object’s lifetime arbitrarily