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Architectural Technical Debt Identification: the Research Landscape - - PowerPoint PPT Presentation

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Gothenburg, 27 May 2018 Architectural Technical Debt Identification: the Research Landscape R. Verdecchia I. Malavolta P. Lago r.verdecchia@vu.nl i.malavolta@vu.nl p.lago@vu.nl *Gran Sasso Science Institute, Italy Vrije

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Architectural Technical Debt Identification: the Research Landscape

  • R. Verdecchia∗† I. Malavolta† P. Lago†

Gothenburg, 27 May 2018 r.verdecchia@vu.nl i.malavolta@vu.nl p.lago@vu.nl *Gran Sasso Science Institute, Italy † Vrije Universiteit Amsterdam, The Netherlands

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1 “A Systematic Literature Review and a Unified Model of ATD.” IEEE, 2016, pp. 189-197.

  • T. Besker, A. Martini, and J. Bosch

2 “Architectural Debt Management in Value-Oriented Architecting”. 2014. In Economics-Driven

Software Architecture, pp. 183-204. Z. Li, P. Liang, and P. Avgeriou.

  • Sub-optimal decisions resulting in immature architectural artifacts1
  • ATD identification: detecting ATDIs during or after architecting

processes2

  • Various researches investigated how to identify ATDIs
  • Still an open question

Architectural Technical Debt

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Secondary studies on TD

Verdecchia et al., ATD Identification: The research landscape 3

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  • Problem: Difficult to have a clear overview of existing research

solutions for architectural technical debt identification

Secondary studies on TD

4 Verdecchia et al., ATD Identification: The research landscape

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Secondary studies on TD

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1. Map of the state of the art in ATD identification; 2. Classification framework for ATD identification approaches; 3. Evaluation of publication trends, specifics, and potential for industrial adoption 4. Discussion of the research trends and gaps and their implication

  • n future research

5. Replication package a. http://s2group.cs.vu.nl/techdebt-2018-replication-package/

Research contributions(s)

6

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Results sneak peek

7 Verdecchia et al., ATD Identification: The research landscape

  • Definition of ATD categories appears to be missing
  • Scarce tool support
  • Time dimension not always considered
  • Numerous ad-hoc analyses
  • Only few researches consider ATD resolution
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  • RQ1: What are the publication trends about techniques for ATD

identification?

Study design: RQs

8 Verdecchia et al., ATD Identification: The research landscape

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  • RQ1: What are the publication trends about techniques for ATD

identification?

  • RQ2: What are the characteristics of existing techniques for ATD

identification?

Study design: RQs

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  • RQ1: What are the publication trends about techniques for ATD

identification?

  • RQ2: What are the characteristics of existing techniques for ATD

identification?

  • RQ3: What is the potential for industrial adoption of existing

techniques for ATD identification?

Study design: RQs

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Study design: Search and selection

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  • RQ1: What are the publication trends of techniques for ATD

identification? ■ Scientific interest, contribution type, venues

  • RQ2: What are the characteristics of existing techniques for ATD

identification?

  • RQ3: What is the potential for industrial adoption of existing

techniques for ATD identification?

Systematic Mapping Study

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Findings: Topic is attracting a growing scientific interest. Conferences and workshops most targeted venues.

RQ1: Publication trends

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Findings: Fragmented community

RQ1: Publication trends

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Venues

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  • RQ1: What are the publication trends about techniques for ATD

identification?

  • RQ2: What are the characteristics of existing techniques for ATD

identification? ■ Understanding current trends and gaps ■ Classification framework through keywording process

  • RQ3: What is the potential for industrial adoption of existing

techniques for ATD identification?

Systematic Mapping Study

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RQ2: What are the characteristics of existing techniques for ATD identification? ■ Architectural level ■ ATDI definition ■ Analysis type ■ Input ■ Temporal dimension ■ ATD resolution ■ Tool support

RQ2: Approach characteristics

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RQ2: What are the characteristics of existing techniques for ATD identification? ■ Architectural level ■ ATDI definition ■ Analysis type ■ Input ■ Temporal dimension ■ ATD resolution ■ Tool support

RQ2: Approach characteristics

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Findings: Different architectural levels considered Many occurrences of unspecified

RQ2: Approach characteristics

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RQ2: What are the characteristics of existing techniques for ATD identification? ■ Architectural level ■ ATDI definition ■ Analysis type ■ Input ■ Temporal dimension ■ ATD resolution ■ Tool support

RQ2: Approach characteristics

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RQ2: Approach characteristics

Findings: Various ATDI definitions are considered High number of custom definitions

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RQ2: What are the characteristics of existing techniques for ATD identification? ■ Architectural level ■ ATDI definition ■ Analysis type ■ Input ■ Temporal dimension ■ ATD resolution ■ Tool support

RQ2: Approach characteristics

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RQ2: Approach characteristics

Findings: Heterogeneous types of analysis Most analyses rooted in code Some types only marginally exploded

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RQ2: What are the characteristics of existing techniques for ATD identification? ■ Architectural level ■ ATDI definition ■ Analysis type ■ Input ■ Temporal dimension ■ ATD resolution ■ Tool support

RQ2: Approach characteristics

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RQ2: Approach characteristics

Findings: Identification strongly rooted in source code

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RQ2: What are the characteristics of existing techniques for ATD identification? ■ Architectural level ■ ATDI definition ■ Analysis type ■ Input ■ Temporal dimension ■ ATD resolution ■ Tool support

RQ2: Approach characteristics

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Findings: Almost half of the studies do not consider temporal aspects

RQ2: Approach characteristics

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RQ2: What are the characteristics of existing techniques for ATD identification? ■ Architectural level ■ ATDI definition ■ Analysis type ■ Input ■ Temporal dimension ■ ATD resolution ■ Tool support

RQ2: Approach characteristics

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Findings: ATD resolution only marginally considered

RQ2: Approach characteristics

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RQ2: What are the characteristics of existing techniques for ATD identification? ■ Architectural level ■ ATDI definition ■ Analysis type ■ Input ■ Temporal dimension ■ ATD resolution ■ Tool support

RQ2: Approach characteristics

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Findings: Heterogeneous toolset Scope ranges from general purpose to ad-hoc solutions

RQ2: Approach characteristics

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  • RQ1: What are the publication trends about techniques for ATD

identification?

  • RQ2: What are the characteristics of existing techniques for ATD

identification?

  • RQ3: What is the potential for industrial adoption of existing

techniques for ATD identification? ■ Are we ready to transfer knowledge to industry?

Systematic Mapping Study

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Findings: Mostly academic research,

RQ3: Potential for industrial adoption

Industry involvement 32

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RQ3: Potential for industrial adoption

Industry involvement

Findings: Mostly academic research, scarce tool support,

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RQ3: Potential for industrial adoption

Industry involvement Rigor and industrial relevance

Findings: Mostly academic research, scarce tool support, scattered rigor and medium/high relevance.

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  • Definition of ATD categories appears to be missing
  • Scarce tool support
  • Time dimension not always considered
  • Numerous ad-hoc analyses
  • ATD identification is strongly rooted into TD techniques

working at the source code level

  • ATD resolution only marginally explored

Take aways

35 Verdecchia et al., ATD Identification: The research landscape

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Gothenburg, 27 May 2018

Architectural Technical Debt Identification: the Research Landscape

Backup slides

  • R. Verdecchia∗† I. Malavolta† P. Lago†

r.verdecchia@vu.nl i.malavolta@vu.nl p.lago@vu.nl *Gran Sasso Science Institute, Italy † Vrije Universiteit Amsterdam, The Netherlands

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Search Query

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1. Studies focusing on TD identification in software-intensive systems. 2. Studies focusing on the architecture of software-intensive systems. 3. Studies presenting or using a technique aimed to the identification of ATD in software-intensive systems.

Inclusion criteria

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1. Secondary or tertiary studies (e.g., systematic literature reviews, surveys, etc.). 2. Studies in the form of editorials and tutorial, short papers, and poster. 3. Studies that have not been published in English language. 4. Studies that have not been peer reviewed. 5. Duplicate papers or extensions of already included papers. 6. Papers that are not available.

Exclusion criteria

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Rigor and relevance

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