Recommendation Systems in Software Engineering

Abstract

This chapter describes the concepts involved in the process of benchmarking of recommendation systems. Benchmarking of recommendation systems is used to ensure the quality of a research system or production system in comparison to other systems, whether algorithmically, infrastructurally, or according to any sought-after quality. Specifically, the chapter presents evaluation of recommendation systems according to recommendation accuracy, technical constraints, and business values in the context of a multi-dimensional benchmarking and evaluation model encompassing any number of qualities into a final comparable metric. The focus is put on quality measures related to recommendation accuracy, technical factors, and business values. The chapter first introduces concepts related to evaluation and benchmarking of recommendation systems, continues with an overview of the current state of the art, then presents the multi-dimensional approach in detail. The chapter concludes with a brief discussion of the introduced concepts and a summary. A. Said ( )

Towards ubiquitous requirements engineering through recommendations based on context histories

“…According to Robillard et al (2014) , an SERS needs to have specific requirements to be considered a recommendation system, which are: (a) a mechanism for collecting data and artifacts from the development process in a data model; (b) a recommendation mechanism to analyze the data model and generate recommendations; and (c) a user interface to trigger the recommendation cycle and present its results.…”

“…Software Engineering Recommendation Systems (SERSs) help teams select information and make decisions when they are inexperienced or unable to consider all available data. However, setting context is a challenge for recommendation systems ( Robillard et al, 2014 ).…”

Facilitating the development of cross-platform software via automated code synthesis from web-based programming resources

“…Native-2-native is a representative of a broad class of software engineering applications known as recommendation systems [12,13]. Several examples of recommendation systems synthesize code snippets from web-based programming resources [14,15,16,17] or build an intelligent code search engine [18].…”

A Recent Trends in eBooks Recommender Systems: A Comparative Survey

“…To put it another way, a RMs is a program that shows the most relevant items, products, or services to specific users by anticipating the items they are most interested in based on their past and current interactions with the system and other users [5]. Taking an appropriate decision within a constrained environment was more difficult because only a finite number of points of view could be considered.…”